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chore: import upstream snapshot with attribution
2026-07-13 13:33:44 +08:00

67 行
2.0 KiB
Python

"""``automation_runs`` table — immutable per-fire execution record."""
from __future__ import annotations
from sqlalchemy import (
TIMESTAMP,
Column,
Enum as SQLAlchemyEnum,
ForeignKey,
Integer,
)
from sqlalchemy.dialects.postgresql import JSONB
from sqlalchemy.orm import relationship
from app.db import BaseModel, TimestampMixin
from ..enums.run_status import RunStatus
class AutomationRun(BaseModel, TimestampMixin):
__tablename__ = "automation_runs"
automation_id = Column(
Integer,
ForeignKey("automations.id", ondelete="CASCADE"),
nullable=False,
index=True,
)
trigger_id = Column(
Integer,
ForeignKey("automation_triggers.id", ondelete="SET NULL"),
nullable=True,
index=True,
)
status = Column(
SQLAlchemyEnum(
RunStatus,
name="automation_run_status",
values_callable=lambda x: [e.value for e in x],
),
nullable=False,
default=RunStatus.PENDING,
server_default=RunStatus.PENDING.value,
index=True,
)
# locked at fire time so historical runs always show the exact code path
definition_snapshot = Column(JSONB, nullable=False)
# merged & validated inputs the run was dispatched with
# (trigger.static_inputs union producer runtime data, static wins on collision)
inputs = Column(JSONB, nullable=False, server_default="{}")
# one entry per executed step; agent_task entries carry their own
# `agent_session_id` inside their entry
step_results = Column(JSONB, nullable=False, server_default="[]")
output = Column(JSONB, nullable=True)
artifacts = Column(JSONB, nullable=False, server_default="[]")
error = Column(JSONB, nullable=True)
started_at = Column(TIMESTAMP(timezone=True), nullable=True)
finished_at = Column(TIMESTAMP(timezone=True), nullable=True)
automation = relationship("Automation", back_populates="runs")
trigger = relationship("AutomationTrigger", back_populates="runs")