/
execution_context.py
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/
execution_context.py
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# Copyright 2022 The Kubeflow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""Execution context for launcher clients to support cancellation propagation."""
import logging
import os
import signal
class ExecutionContext:
"""Execution context for running inside Google Cloud Pipeline Components.
The base class is aware of the GCPC environment and can cascade
a pipeline cancel event to the operation through `on_cancel` handler.
Args:
on_cancel: optional, function to handle KFP cancel event.
"""
def __init__(self, on_cancel=None):
logging.info('Starting GCPC context')
self._on_cancel = on_cancel
self._original_sigterm_handler = None
def __enter__(self):
logging.info('Adding signal handler')
self._original_sigterm_handler = signal.signal(
signal.SIGTERM, self._exit_gracefully
)
return self
def __exit__(self, *_):
logging.info('Exiting GCPC context')
signal.signal(signal.SIGTERM, self._original_sigterm_handler)
def _exit_gracefully(self, *_):
logging.info('SIGTERM signal received.')
if self._on_cancel:
logging.info('Cancelling...')
self._on_cancel()
# Exiting here to prevent any downstream errors due to the cancelled job
logging.info('Exiting GCPC context due to cancellation.')
os._exit(0)