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56 lines
2.0 KiB
Python
56 lines
2.0 KiB
Python
"""Coordination for local trigger turns."""
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from __future__ import annotations
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from collections.abc import Awaitable, Callable, Iterable
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from nanobot.agent.automation_turns import AutomationTurnCoordinator
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from nanobot.bus.events import InboundMessage
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from nanobot.triggers.local_session_turns import local_trigger, local_trigger_delivery_id
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class LocalTriggerTurnCoordinator(AutomationTurnCoordinator):
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"""Manage local trigger turns without mixing them into live injections."""
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def __init__(
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self,
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*,
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publish_inbound: Callable[[InboundMessage], Awaitable[None]],
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dispatch: Callable[[InboundMessage], Awaitable[object]],
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is_running: Callable[[], bool],
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deferred_queues: dict[str, list[InboundMessage]] | None = None,
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) -> None:
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super().__init__(
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publish_inbound=publish_inbound,
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dispatch=dispatch,
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is_running=is_running,
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turn_id=lambda msg: local_trigger_delivery_id(msg.metadata),
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pending_id=_local_trigger_id,
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should_defer_turn=_should_defer_local_trigger_turn,
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missing_id_error="local trigger turn metadata must include a delivery_id",
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duplicate_id_error=lambda delivery_id: (
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f"local trigger delivery {delivery_id!r} is already pending"
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),
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deferred_queues=deferred_queues,
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)
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def pending_trigger_ids_for_session(self, session_key: str) -> set[str]:
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"""Return local triggers waiting for or running in *session_key*."""
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return self.pending_ids_for_session(session_key)
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def _should_defer_local_trigger_turn(
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msg: InboundMessage,
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session_key: str,
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active_session_keys: Iterable[str],
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) -> bool:
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return local_trigger(msg.metadata) is not None and session_key in active_session_keys
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def _local_trigger_id(msg: InboundMessage) -> str | None:
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trigger = local_trigger(msg.metadata)
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if not trigger:
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return None
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value = trigger.get("trigger_id")
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return value if isinstance(value, str) and value else None
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