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

68 lines
1.8 KiB
Python

"""``automation_triggers`` table — one row per (automation, trigger-instance) pair."""
from __future__ import annotations
from sqlalchemy import (
TIMESTAMP,
Boolean,
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.trigger_type import TriggerType
class AutomationTrigger(BaseModel, TimestampMixin):
__tablename__ = "automation_triggers"
automation_id = Column(
Integer,
ForeignKey("automations.id", ondelete="CASCADE"),
nullable=False,
index=True,
)
type = Column(
SQLAlchemyEnum(
TriggerType,
name="automation_trigger_type",
values_callable=lambda x: [e.value for e in x],
),
nullable=False,
index=True,
)
params = Column(JSONB, nullable=False)
# Per-attachment domain values merged into every dispatched run's inputs.
# Static wins over runtime data on key collision.
static_inputs = Column(JSONB, nullable=False, server_default="{}")
enabled = Column(
Boolean,
nullable=False,
default=True,
server_default="true",
index=True,
)
last_fired_at = Column(TIMESTAMP(timezone=True), nullable=True)
# Precomputed next fire moment in UTC; advanced after each fire by the
# schedule tick. NULL means the trigger has never been scheduled (the
# tick self-heals on first sight).
next_fire_at = Column(TIMESTAMP(timezone=True), nullable=True)
automation = relationship("Automation", back_populates="triggers")
runs = relationship(
"AutomationRun",
back_populates="trigger",
passive_deletes=True,
)