b60439152b
- harness/es.py: append-only event store + проекции (образец — кооп-портал) - harness/levels.py: уровни 1с/1м/1ч/1д, контекст ∝ масштабу - harness/scheduler.py: уровневые потоки, идемпотентные тики, absorbed-стабы - harness/isolated_runner.py + _llm_worker.py: LLM-тик в сабпроцессе (глобальный asyncio-рантайм Strands не переживает 2+ create_harness) - cli.py: init/task/tasks/status/events + requeue (написан самим минутным агентом) - 9router: отдельный ключ sk-simbiot, модель auto (glm-5.3 первым)
45 lines
1.3 KiB
Python
45 lines
1.3 KiB
Python
"""Private async execution utilities."""
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import asyncio
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import contextvars
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from collections.abc import Awaitable, Callable
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from concurrent.futures import ThreadPoolExecutor
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from typing import TypeVar
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T = TypeVar("T")
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_RUN_ASYNC_BRIDGE = contextvars.ContextVar("strands_run_async_bridge", default=False)
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def is_run_async_bridge() -> bool:
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"""Return whether execution is inside the temporary sync bridge loop."""
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return _RUN_ASYNC_BRIDGE.get()
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def run_async(async_func: Callable[[], Awaitable[T]]) -> T:
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"""Run an async function in a separate thread to avoid event loop conflicts.
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This utility handles the common pattern of running async code from sync contexts
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by using ThreadPoolExecutor to isolate the async execution.
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Args:
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async_func: A callable that returns an awaitable
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Returns:
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The result of the async function
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"""
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async def execute_async() -> T:
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return await async_func()
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def execute() -> T:
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token = _RUN_ASYNC_BRIDGE.set(True)
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try:
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return asyncio.run(execute_async())
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finally:
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_RUN_ASYNC_BRIDGE.reset(token)
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with ThreadPoolExecutor() as executor:
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context = contextvars.copy_context()
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future = executor.submit(context.run, execute)
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return future.result()
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