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Replaces the pre-hexagonal scheduled-task implementation with a slice built to the layering spec: a pure domain (two aggregates, two state machines, the policy value object), output ports it declares itself, SQL/launcher/thread adapters implementing them under `app/adapters/`, and a composition root that is the one place any of them is instantiated. The old implementation mixed all of that into `app/scheduler/service.py` and a router that reached straight into repositories, so the rules that matter -- overlap policy, lease handling, which write owns which timestamp -- were only reachable through a live database. They are now unit-assertable on in-memory fakes, with the contract suite running each port against both the fake and real sqlite, and the concurrency invariants pinned by dedicated race tests. Two bugs the old shape hid are fixed on the way: a completion hook that replayed a stale snapshot and rolled back the launch write, and a corrupt stored row surfacing to the client as a 4xx. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
103 lines
4.1 KiB
Python
103 lines
4.1 KiB
Python
"""Primary adapter (inbound) -- the run runtime's completion callback.
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The one file in this package that drives the domain rather than serving it.
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Its siblings are secondary adapters the service calls out to; this one is
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called *by* the run runtime, the same way the router is called by HTTP and the
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poller by its clock. Kept here rather than beside those two so the context
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stays in one place, with the direction stated by the name and by this line.
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Its job is the filtering the legacy completion hook did inline. Every run in
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the process reaches that callback, so most of them are none of this context's
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business, and producing no call at all says exactly that -- not an error, just
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nothing to write back. That is why `ScheduleService.handle_run_completion`
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carries no guard clauses and never imports ``RunRecord``.
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TODO(hexagonal): this depends on ``RunRecord``, a run-runtime type, rather
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than on a contract published by the run context -- that context has not been
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through a hexagonal slice yet. When it publishes one (a DTO, not its aggregate
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and not its repository), replace ``_to_outcome``. Nothing else moves.
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"""
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from __future__ import annotations
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from datetime import UTC, datetime
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from typing import TYPE_CHECKING
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from deerflow.domain.schedule.model import RunStatus
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from deerflow.domain.schedule.ports import RunOutcome
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if TYPE_CHECKING:
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from deerflow.domain.schedule.service import ScheduleService
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from deerflow.runtime import RunRecord
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# The runtime reports four terminal states; the domain has three, because
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# `timeout` and `error` are the same fact to a scheduled task while
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# `interrupted` is deliberately not -- a cancel or same-thread takeover ends
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# the task CANCELLED, not FAILED.
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_TERMINAL_STATUSES = {
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"success": RunStatus.SUCCESS,
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"error": RunStatus.FAILED,
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"timeout": RunStatus.FAILED,
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"interrupted": RunStatus.INTERRUPTED,
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}
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_INTERRUPTED_WITHOUT_ERROR = "run was interrupted before completion"
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class ScheduleRunCompletionListener:
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"""Turns a finished run into the write-back use case, or into nothing.
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Deciding whether a run is ours and invoking the use case are one
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responsibility, not two: "ignore this run" is only meaningful as "do not
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call the service", so splitting them left the second half living in the
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composition root, where behaviour is not asserted.
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"""
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def __init__(self, service: ScheduleService) -> None:
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self._service = service
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async def __call__(self, record: RunRecord) -> None:
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outcome = self._to_outcome(record)
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if outcome is None:
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return
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await self._service.handle_run_completion(outcome, now=datetime.now(UTC))
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@staticmethod
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def _to_outcome(record: RunRecord) -> RunOutcome | None:
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"""Translate into domain vocabulary, or `None` to ignore the run.
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`None` when the run is not a scheduled execution (no usable task
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metadata, no owner) or has not reached a terminal state yet.
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"""
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metadata = record.metadata or {}
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task_id = metadata.get("scheduled_task_id")
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record_id = metadata.get("scheduled_task_run_id")
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user_id = record.user_id
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# `metadata` is a free-form dict a caller can influence, so the ids are
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# type-checked rather than assumed; `user_id` is required because every
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# task read is scoped by it.
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if not isinstance(task_id, str) or not isinstance(record_id, str) or not user_id:
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return None
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status = _TERMINAL_STATUSES.get(str(record.status.value))
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if status is None:
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return None
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if status is RunStatus.SUCCESS:
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# A stale error left on a successful record must not be written back
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# as the task's last_error.
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error = None
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elif status is RunStatus.INTERRUPTED:
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error = record.error or _INTERRUPTED_WITHOUT_ERROR
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else:
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error = record.error
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return RunOutcome(
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task_id=task_id,
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record_id=record_id,
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run_id=record.run_id,
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user_id=user_id,
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status=status,
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error=error,
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)
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