Agent Zero
07a99975ec
- Migration 0092: DLQ columns (error_message, failed_at) + consumer_inbox RLS fix - outbox.py: DLQ logic, replay functions, stats, consumer registry - app/routes/outbox.py: 5 API endpoints (stats, failed, replay, replay-all, consumer-registry) - outbox_deliveries tracking per consumer handler - 18/18 tests passing
58 lines
1.9 KiB
Python
58 lines
1.9 KiB
Python
"""Outbox delivery model for per-consumer delivery tracking."""
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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, ForeignKey, Integer, String, Text, UniqueConstraint, func
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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 OutboxDelivery(Base):
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"""Tracks per-consumer delivery status for outbox events.
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Each row represents one consumer (event handler) processing one outbox
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event. An event is only fully 'published' when all mandatory deliveries
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succeed.
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"""
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__tablename__ = "outbox_deliveries"
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__table_args__ = (
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UniqueConstraint("event_id", "consumer_name", name="uq_outbox_deliveries_event_consumer"),
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)
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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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event_id: Mapped[uuid.UUID] = mapped_column(
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PGUUID(as_uuid=True),
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ForeignKey("event_outbox.id", ondelete="CASCADE"),
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nullable=False,
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)
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consumer_name: Mapped[str] = mapped_column(String(150), nullable=False)
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status: Mapped[str] = mapped_column(
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String(30), nullable=False, server_default="pending",
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)
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attempt_count: Mapped[int] = mapped_column(
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Integer, nullable=False, server_default="0",
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)
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next_attempt_at: Mapped[datetime | None] = mapped_column(
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DateTime(timezone=True), nullable=True,
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)
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last_error: Mapped[str | None] = mapped_column(Text, nullable=True)
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processed_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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