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https://github.com/Hestia-Homes/Model.git
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d70e8a9e53
The wrapped function now receives the decorator-owned TaskOrchestrator as a third positional argument so handlers can compose their own use-case orchestrator that shares the session, instead of opening a second Postgres connection per invocation. Both existing callers (backend/ordnanceSurvey/main.py and backend/bulk_address2uprn_combiner/main.py) have their signatures extended to accept the new positional argument (typed Optional[TaskOrchestrator] so the legacy backend.utils.subtasks.subtask_handler — which only passes two args — keeps working until the migration to the new decorator lands). @task_handler is intentionally unchanged in this slice; symmetry is deferred per issue #1103.
67 lines
2.4 KiB
Python
67 lines
2.4 KiB
Python
"""@subtask_handler decorator for Lambdas that operate on existing SubTasks.
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Translates an AWS Lambda invocation (SQS-shaped or direct) into
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TaskOrchestrator.run_subtask(...) calls.
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"""
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import json
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from contextlib import AbstractContextManager
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from functools import wraps
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from typing import Any, Callable, Optional, cast
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from utilities.aws_lambda.default_orchestrator import default_orchestrator
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from utilities.aws_lambda.subtask_trigger_body import SubtaskTriggerBody
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from orchestration.task_orchestrator import TaskOrchestrator
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OrchestratorCM = Callable[[], AbstractContextManager[TaskOrchestrator]]
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def subtask_handler(
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*,
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orchestrator_cm: Optional[OrchestratorCM] = None,
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) -> Callable[[Callable[..., Any]], Callable[..., Any]]:
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"""Run the wrapped function as the body of an existing SubTask.
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For each record, validates the body via SubtaskTriggerBody (must contain
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task_id and sub_task_id), then runs the function inside
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orchestrator.run_subtask(...). The orchestrator owns the start/complete/
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fail lifecycle and cascades status into the parent Task. On failure the
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underlying exception propagates after the SubTask is marked FAILED.
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"""
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factory = orchestrator_cm or default_orchestrator
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def decorator(func: Callable[..., Any]) -> Callable[..., Any]:
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@wraps(func)
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def wrapper(event: dict[str, Any], context: Any) -> None:
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with factory() as orchestrator:
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for record in _records(event):
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body = _parse_body(record)
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trigger = SubtaskTriggerBody.model_validate(body)
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orchestrator.run_subtask(
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trigger.sub_task_id,
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work=lambda body=body, o=orchestrator: func(body, context, o),
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)
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return wrapper
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return decorator
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def _parse_body(record: dict[str, Any]) -> dict[str, Any]:
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raw = record.get("body", record)
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if isinstance(raw, str):
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try:
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parsed = json.loads(raw)
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except json.JSONDecodeError:
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return {}
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return cast(dict[str, Any], parsed) if isinstance(parsed, dict) else {}
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if isinstance(raw, dict):
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return cast(dict[str, Any], raw)
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return {}
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def _records(event: dict[str, Any]) -> list[dict[str, Any]]:
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raw_records = event.get("Records")
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if isinstance(raw_records, list):
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return [r for r in cast(list[Any], raw_records) if isinstance(r, dict)]
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return [event]
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