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

44 lines
1.4 KiB
Python

"""Merge and validate the inputs a run starts with."""
from __future__ import annotations
from typing import Any
import jsonschema
from app.automations.persistence.models.trigger import AutomationTrigger
from app.automations.schemas.definition.envelope import AutomationDefinition
from .errors import DispatchError
def prepare_inputs(
definition: AutomationDefinition,
trigger: AutomationTrigger,
runtime_inputs: dict[str, Any] | None,
) -> dict[str, Any]:
"""Merge ``trigger.static_inputs`` over ``runtime_inputs``, then validate.
Static inputs win on key collision.
"""
merged = {**(runtime_inputs or {}), **(trigger.static_inputs or {})}
return validate_inputs(definition, merged)
def validate_inputs(
definition: AutomationDefinition, inputs: dict[str, Any]
) -> dict[str, Any]:
"""Validate ``inputs`` against the definition's optional declared schema.
No declared schema → pass through unchanged so runtime keys (``fired_at``,
``last_fired_at``, ...) still reach the template context. A declared schema
that the inputs violate is surfaced as ``DispatchError``.
"""
if definition.inputs is None or not definition.inputs.schema_:
return inputs
try:
jsonschema.validate(instance=inputs, schema=definition.inputs.schema_)
except jsonschema.ValidationError as exc:
raise DispatchError(f"inputs: {exc.message}") from exc
return inputs