# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. import time from typing import Iterable from ..graph import Model, ModelStatus from .interface import AbstractExecutionEngine from .listener import DefaultListener _execution_engine = None _default_listener = None __all__ = ['get_execution_engine', 'get_and_register_default_listener', 'list_models', 'submit_models', 'wait_models', 'query_available_resources', 'set_execution_engine', 'is_stopped_exec', 'budget_exhausted'] def set_execution_engine(engine: AbstractExecutionEngine) -> None: global _execution_engine if _execution_engine is None: _execution_engine = engine else: raise RuntimeError('Execution engine is already set.') def get_execution_engine() -> AbstractExecutionEngine: global _execution_engine assert _execution_engine is not None, 'You need to set execution engine, before using it.' return _execution_engine def get_and_register_default_listener(engine: AbstractExecutionEngine) -> DefaultListener: global _default_listener if _default_listener is None: _default_listener = DefaultListener() engine.register_graph_listener(_default_listener) return _default_listener def submit_models(*models: Model) -> None: engine = get_execution_engine() get_and_register_default_listener(engine) engine.submit_models(*models) def list_models(*models: Model) -> Iterable[Model]: engine = get_execution_engine() get_and_register_default_listener(engine) return engine.list_models() def wait_models(*models: Model) -> None: get_and_register_default_listener(get_execution_engine()) while True: time.sleep(1) left_models = [g for g in models if not g.status in (ModelStatus.Trained, ModelStatus.Failed)] if not left_models: break def query_available_resources() -> int: engine = get_execution_engine() resources = engine.query_available_resource() return resources if isinstance(resources, int) else len(resources) def is_stopped_exec(model: Model) -> bool: return model.status in (ModelStatus.Trained, ModelStatus.Failed) def budget_exhausted() -> bool: engine = get_execution_engine() return engine.budget_exhausted()