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Refactor component SDK with context manager instead of base class.
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# Copyright 2018 Google LLC | ||
# | ||
# 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. | ||
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from ._kfp_execution_context import KfpExecutionContext |
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component_sdk/python/kfp_component/core/_kfp_execution_context.py
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# Copyright 2018 Google LLC | ||
# | ||
# 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. | ||
import signal | ||
import logging | ||
import json | ||
from datetime import datetime | ||
import os | ||
import hashlib | ||
import uuid | ||
import re | ||
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from kubernetes import client, config | ||
from kubernetes.client.rest import ApiException | ||
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KF_NAMESPACE = 'kubeflow' | ||
KFP_POD_ENV_NAME = 'KFP_POD_NAME' | ||
ARGO_EXECUTION_CONTROL_ANNOTATION = 'workflows.argoproj.io/execution' | ||
ARGO_NODE_NAME_ANNOTATION = 'workflows.argoproj.io/node-name' | ||
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class KfpExecutionContext: | ||
"""Execution context for running inside Kubeflow Pipelines. | ||
The base class is aware of the KFP environment and can cascade | ||
pipeline cancel or deadline event to the operation through | ||
``on_cancel`` handler. | ||
Args: | ||
on_cancel: optional, function to handle KFP cancel event. | ||
""" | ||
def __init__(self, on_cancel=None): | ||
self._load_kfp_environment() | ||
self._context_id = self._generate_context_id() | ||
logging.info('Start KFP context with ID: {}.'.format( | ||
self._context_id)) | ||
self._on_cancel = on_cancel | ||
self._original_sigterm_hanlder = None | ||
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def __enter__(self): | ||
self._original_sigterm_hanlder = signal.getsignal(signal.SIGTERM) | ||
signal.signal(signal.SIGTERM, self._exit_gracefully) | ||
return self | ||
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def __exit__(self, type, value, traceback): | ||
signal.signal(signal.SIGTERM, self._original_sigterm_hanlder) | ||
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def context_id(self): | ||
"""Returns a stable context ID across retries. The ID is in | ||
32 bytes hex format. | ||
""" | ||
return self._context_id | ||
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def under_kfp_environment(self): | ||
"""Returns true if the execution is under KFP environment. | ||
""" | ||
return self._pod_name and self._k8s_client and self._argo_node_name | ||
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def _generate_context_id(self): | ||
if self.under_kfp_environment(): | ||
stable_name_name = re.sub(r'\(\d+\)$', '', self._argo_node_name) | ||
return hashlib.md5(bytes(stable_name_name.encode())).hexdigest() | ||
else: | ||
return uuid.uuid1().hex | ||
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def _load_kfp_environment(self): | ||
self._pod_name = os.environ.get(KFP_POD_ENV_NAME, None) | ||
if not self._pod_name: | ||
self._k8s_client = None | ||
else: | ||
try: | ||
config.load_incluster_config() | ||
self._k8s_client = client.CoreV1Api() | ||
except Exception as e: | ||
logging.warning('Failed to load kubernetes client:' | ||
' {}.'.format(e)) | ||
self._k8s_client = None | ||
if self._pod_name and self._k8s_client: | ||
self._argo_node_name = self._get_argo_node_name() | ||
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if not self.under_kfp_environment(): | ||
logging.warning('Running without KFP context.') | ||
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def _get_argo_node_name(self): | ||
pod = self._get_pod() | ||
if not pod or not pod.metadata or not pod.metadata.annotations: | ||
return None | ||
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return pod.metadata.annotations.get( | ||
ARGO_NODE_NAME_ANNOTATION, None) | ||
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def _exit_gracefully(self, signum, frame): | ||
logging.info('SIGTERM signal received.') | ||
if (self._on_cancel and | ||
self.under_kfp_environment() and | ||
self._should_cancel()): | ||
self._on_cancel() | ||
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def _should_cancel(self): | ||
"""Checks argo's execution config deadline and decide whether the operation | ||
should be cancelled. | ||
Argo cancels workflow by setting deadline to 0 and sends SIGTERM | ||
signal to main container with 10s graceful period. | ||
""" | ||
pod = self._get_pod() | ||
if not pod or not pod.metadata or not pod.metadata.annotations: | ||
return False | ||
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argo_execution_config_json = pod.metadata.annotations.get( | ||
ARGO_EXECUTION_CONTROL_ANNOTATION, None) | ||
if not argo_execution_config_json: | ||
return False | ||
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try: | ||
argo_execution_config = json.loads(argo_execution_config_json) | ||
except Exception as e: | ||
logging.error("Error deserializing argo execution config: {}".format(e)) | ||
return False | ||
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deadline_json = argo_execution_config.get('deadline', None) | ||
if not deadline_json: | ||
return False | ||
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try: | ||
deadline = datetime.strptime(deadline_json, '%Y-%m-%dT%H:%M:%SZ') | ||
except Exception as e: | ||
logging.error("Error converting deadline string to datetime: {}".format(e)) | ||
return False | ||
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return datetime.now() > deadline | ||
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def _get_pod(self): | ||
logging.info('Fetching latest pod metadata: {}.'.format( | ||
self._pod_name)) | ||
return self._k8s_client.read_namespaced_pod( | ||
self._pod_name, KF_NAMESPACE) |
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# Copyright 2018 Google LLC | ||
# | ||
# 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. |
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