modsetter--surfsense
6ede33ccdb
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67 行
2.0 KiB
Python
67 行
2.0 KiB
Python
"""``automation_runs`` table — immutable per-fire execution record."""
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from __future__ import annotations
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from sqlalchemy import (
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TIMESTAMP,
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Column,
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Enum as SQLAlchemyEnum,
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ForeignKey,
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Integer,
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)
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from sqlalchemy.dialects.postgresql import JSONB
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from sqlalchemy.orm import relationship
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from app.db import BaseModel, TimestampMixin
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from ..enums.run_status import RunStatus
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class AutomationRun(BaseModel, TimestampMixin):
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__tablename__ = "automation_runs"
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automation_id = Column(
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Integer,
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ForeignKey("automations.id", ondelete="CASCADE"),
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nullable=False,
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index=True,
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)
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trigger_id = Column(
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Integer,
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ForeignKey("automation_triggers.id", ondelete="SET NULL"),
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nullable=True,
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index=True,
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)
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status = Column(
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SQLAlchemyEnum(
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RunStatus,
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name="automation_run_status",
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values_callable=lambda x: [e.value for e in x],
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),
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nullable=False,
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default=RunStatus.PENDING,
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server_default=RunStatus.PENDING.value,
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index=True,
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)
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# locked at fire time so historical runs always show the exact code path
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definition_snapshot = Column(JSONB, nullable=False)
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# merged & validated inputs the run was dispatched with
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# (trigger.static_inputs union producer runtime data, static wins on collision)
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inputs = Column(JSONB, nullable=False, server_default="{}")
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# one entry per executed step; agent_task entries carry their own
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# `agent_session_id` inside their entry
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step_results = Column(JSONB, nullable=False, server_default="[]")
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output = Column(JSONB, nullable=True)
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artifacts = Column(JSONB, nullable=False, server_default="[]")
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error = Column(JSONB, nullable=True)
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started_at = Column(TIMESTAMP(timezone=True), nullable=True)
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finished_at = Column(TIMESTAMP(timezone=True), nullable=True)
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automation = relationship("Automation", back_populates="runs")
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trigger = relationship("AutomationTrigger", back_populates="runs")
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