528 lines
18 KiB
Python
528 lines
18 KiB
Python
# Copyright 2017 Catalyst IT Limited
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import copy
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import json
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import os
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import time
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import jinja2
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from kubernetes.client import V1DeleteOptions
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from oslo_log import log as logging
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import requests
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import tenacity
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import yaml
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from qinling.engine import utils
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from qinling import exceptions as exc
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from qinling.orchestrator import base
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from qinling.orchestrator.kubernetes import utils as k8s_util
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from qinling.utils import common
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LOG = logging.getLogger(__name__)
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TEMPLATES_DIR = (os.path.dirname(os.path.realpath(__file__)) + '/templates/')
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class KubernetesManager(base.OrchestratorBase):
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def __init__(self, conf, qinling_endpoint):
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self.conf = conf
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self.qinling_endpoint = qinling_endpoint
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clients = k8s_util.get_k8s_clients(self.conf)
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self.v1 = clients['v1']
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self.v1extension = clients['v1extension']
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# self.apps_v1 = clients['apps_v1']
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# Create namespace if not exists
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self._ensure_namespace()
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# Get templates.
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template_loader = jinja2.FileSystemLoader(
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searchpath=os.path.dirname(TEMPLATES_DIR)
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)
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jinja_env = jinja2.Environment(
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loader=template_loader, autoescape=True, trim_blocks=True,
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lstrip_blocks=True
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)
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self.deployment_template = jinja_env.get_template('deployment.j2')
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self.service_template = jinja_env.get_template('service.j2')
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self.pod_template = jinja_env.get_template('pod.j2')
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# Refer to
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# http://docs.python-requests.org/en/master/user/advanced/#session-objects
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self.session = requests.Session()
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def _ensure_namespace(self):
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ret = self.v1.list_namespace()
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cur_names = [i.metadata.name for i in ret.items]
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if self.conf.kubernetes.namespace not in cur_names:
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LOG.info('Creating namespace: %s', self.conf.kubernetes.namespace)
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namespace_body = {
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'apiVersion': 'v1',
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'kind': 'Namespace',
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'metadata': {
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'name': self.conf.kubernetes.namespace,
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'labels': {
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'name': self.conf.kubernetes.namespace
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}
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},
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}
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self.v1.create_namespace(namespace_body)
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LOG.info('Namespace %s created.', self.conf.kubernetes.namespace)
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@tenacity.retry(
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wait=tenacity.wait_fixed(2),
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stop=tenacity.stop_after_delay(600),
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retry=tenacity.retry_if_result(lambda result: not result)
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)
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def _wait_deployment_available(self, name):
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ret = self.v1extension.read_namespaced_deployment(
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name,
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self.conf.kubernetes.namespace
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)
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if not ret.status.replicas:
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return False
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return ret.status.replicas == ret.status.available_replicas
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def create_pool(self, name, image):
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deployment_body = self.deployment_template.render(
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{
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"name": name,
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"labels": {'runtime_id': name},
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"replicas": self.conf.kubernetes.replicas,
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"container_name": 'worker',
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"image": image,
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"sidecar_image": self.conf.engine.sidecar_image
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}
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)
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LOG.info(
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"Creating deployment for runtime %s: \n%s", name, deployment_body
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)
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self.v1extension.create_namespaced_deployment(
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body=yaml.safe_load(deployment_body),
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namespace=self.conf.kubernetes.namespace
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)
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self._wait_deployment_available(name)
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LOG.info("Deployment for runtime %s created.", name)
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def delete_pool(self, name):
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"""Delete all resources belong to the deployment."""
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LOG.info("Deleting deployment %s", name)
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labels = {'runtime_id': name}
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selector = common.convert_dict_to_string(labels)
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self.v1extension.delete_collection_namespaced_replica_set(
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self.conf.kubernetes.namespace,
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label_selector=selector
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)
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LOG.info("ReplicaSets in deployment %s deleted.", name)
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ret = self.v1.list_namespaced_service(
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self.conf.kubernetes.namespace, label_selector=selector
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)
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names = [i.metadata.name for i in ret.items]
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for svc_name in names:
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self.v1.delete_namespaced_service(
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svc_name,
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self.conf.kubernetes.namespace,
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V1DeleteOptions(),
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)
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LOG.info("Services in deployment %s deleted.", name)
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self.v1extension.delete_collection_namespaced_deployment(
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self.conf.kubernetes.namespace,
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label_selector=selector,
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field_selector='metadata.name=%s' % name
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)
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# Should delete pods after deleting deployment to avoid pods are
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# recreated by k8s.
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self.v1.delete_collection_namespaced_pod(
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self.conf.kubernetes.namespace,
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label_selector=selector
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)
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LOG.info("Pods in deployment %s deleted.", name)
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LOG.info("Deployment %s deleted.", name)
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def update_pool(self, name, image=None):
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"""Deployment rolling-update.
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Return True if successful, otherwise return False after rolling back.
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"""
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LOG.info('Start to do rolling-update deployment %s', name)
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body = {
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'spec': {
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'template': {
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'spec': {
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'containers': [
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{
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# TODO(kong): Make the name configurable.
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'name': 'worker',
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'image': image
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}
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]
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}
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}
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}
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}
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self.v1extension.patch_namespaced_deployment(
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name, self.conf.kubernetes.namespace, body
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)
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unavailable_replicas = 1
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# TODO(kong): Make this configurable
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retry = 5
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while unavailable_replicas != 0 and retry > 0:
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time.sleep(5)
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retry = retry - 1
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deploy = self.v1extension.read_namespaced_deployment_status(
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name,
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self.conf.kubernetes.namespace
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)
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unavailable_replicas = deploy.status.unavailable_replicas
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# Handle failure of rolling-update.
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if unavailable_replicas > 0:
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body = {
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"name": name,
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"rollbackTo": {
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"revision": 0
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}
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}
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self.v1extension.create_namespaced_deployment_rollback(
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name, self.conf.kubernetes.namespace, body
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)
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return False
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return True
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def _choose_available_pods(self, labels, count=1, function_id=None,
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function_version=0):
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# If there is already a pod for function, reuse it.
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if function_id:
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ret = self.v1.list_namespaced_pod(
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self.conf.kubernetes.namespace,
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label_selector='function_id=%s,function_version=%s' %
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(function_id, function_version)
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)
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if len(ret.items) >= count:
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LOG.debug(
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"Function %s(version %s) already associates to a pod with "
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"at least %d worker(s). ",
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function_id, function_version, count
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)
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return ret.items[:count]
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selector = common.convert_dict_to_string(labels)
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ret = self.v1.list_namespaced_pod(
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self.conf.kubernetes.namespace,
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label_selector='!function_id,%s' % selector
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)
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if len(ret.items) < count:
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return []
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return ret.items[-count:]
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def _prepare_pod(self, pod, deployment_name, function_id, version,
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labels=None):
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"""Pod preparation.
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1. Update pod labels.
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2. Expose service.
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"""
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pod_name = pod.metadata.name
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labels = labels or {}
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LOG.info(
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'Prepare pod %s in deployment %s for function %s(version %s)',
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pod_name, deployment_name, function_id, version
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)
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# Update pod label.
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pod_labels = self._update_pod_label(
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pod,
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# pod label value should be string
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{'function_id': function_id, 'function_version': str(version)}
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)
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# Create service for the chosen pod.
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service_name = "service-%s-%s" % (function_id, version)
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labels.update(
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{'function_id': function_id, 'function_version': str(version)}
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)
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# TODO(kong): Make the service type configurable.
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service_body = self.service_template.render(
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{
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"service_name": service_name,
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"labels": labels,
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"selector": pod_labels
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}
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)
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try:
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ret = self.v1.create_namespaced_service(
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self.conf.kubernetes.namespace, yaml.safe_load(service_body)
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)
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LOG.debug(
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'Service created for pod %s, service name: %s',
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pod_name, service_name
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)
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except Exception as e:
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# Service already exists
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if e.status == 409:
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LOG.debug(
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'Service already exists for pod %s, service name: %s',
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pod_name, service_name
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)
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time.sleep(1)
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ret = self.v1.read_namespaced_service(
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service_name, self.conf.kubernetes.namespace
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)
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else:
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raise
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# Get external ip address for an arbitrary node.
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node_port = ret.spec.ports[0].node_port
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nodes = self.v1.list_node()
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addresses = nodes.items[0].status.addresses
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node_ip = None
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for addr in addresses:
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if addr.type == 'ExternalIP':
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node_ip = addr.address
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# FIXME: test purpose using minikube
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if not node_ip:
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for addr in addresses:
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if addr.type == 'InternalIP':
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node_ip = addr.address
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pod_service_url = 'http://%s:%s' % (node_ip, node_port)
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return pod_name, pod_service_url
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def _create_pod(self, image, rlimit, pod_name, labels, input):
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"""Create pod for image type function."""
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if not input:
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input_list = []
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elif isinstance(input, dict) and input.get('__function_input'):
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input_list = input.get('__function_input').split()
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else:
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input_list = list(json.loads(input))
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pod_body = self.pod_template.render(
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{
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"pod_name": pod_name,
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"labels": labels,
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"pod_image": image,
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"input": input_list,
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"req_cpu": str(rlimit['cpu']),
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"limit_cpu": str(rlimit['cpu']),
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"req_memory": str(rlimit['memory_size']),
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"limit_memory": str(rlimit['memory_size'])
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}
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)
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LOG.info(
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"Creating pod %s for image function:\n%s", pod_name, pod_body
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)
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self.v1.create_namespaced_pod(
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self.conf.kubernetes.namespace,
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body=yaml.safe_load(pod_body),
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)
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def _update_pod_label(self, pod, new_label):
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name = pod.metadata.name
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pod_labels = copy.deepcopy(pod.metadata.labels) or {}
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pod_labels.update(new_label)
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body = {
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'metadata': {
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'labels': pod_labels
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}
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}
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self.v1.patch_namespaced_pod(
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name, self.conf.kubernetes.namespace, body
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)
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LOG.debug('Labels updated for pod %s', name)
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return pod_labels
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def prepare_execution(self, function_id, version, rlimit=None, image=None,
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identifier=None, labels=None, input=None):
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"""Prepare service URL for function version.
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:param rlimit: optional argument passed to limit cpu/mem resources.
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For image function, create a single pod with rlimit and input, so the
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function will be executed in the resource limited pod.
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For normal function, choose a pod from the pool and expose a service,
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return the service URL.
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return a tuple includes pod name and the servise url.
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"""
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pods = None
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labels = labels or {'function_id': function_id}
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if image:
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if not rlimit:
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LOG.critical('Param rlimit is required for image function.')
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raise exc.OrchestratorException(
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'Execution preparation failed.'
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)
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self._create_pod(image, rlimit, identifier, labels, input)
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return identifier, None
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else:
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pods = self._choose_available_pods(labels, function_id=function_id,
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function_version=version)
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if not pods:
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LOG.critical('No worker available.')
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raise exc.OrchestratorException('Execution preparation failed.')
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try:
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pod_name, url = self._prepare_pod(
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pods[0], identifier, function_id, version, labels
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)
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return pod_name, url
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except Exception:
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LOG.exception('Pod preparation failed.')
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self.delete_function(function_id, version, labels)
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raise exc.OrchestratorException('Execution preparation failed.')
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def run_execution(self, execution_id, function_id, version, input=None,
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identifier=None, service_url=None, entry='main.main',
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trust_id=None):
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"""Run execution.
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Return a tuple including the result and the output.
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"""
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if service_url:
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func_url = '%s/execute' % service_url
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data = utils.get_request_data(
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self.conf, function_id, version, execution_id, input, entry,
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trust_id, self.qinling_endpoint
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)
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LOG.debug(
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'Invoke function %s(version %s), url: %s, data: %s',
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function_id, version, func_url, data
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)
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return utils.url_request(self.session, func_url, body=data)
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else:
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# Wait for image type function execution to be finished
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def _wait_complete():
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pod = self.v1.read_namespaced_pod(
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identifier,
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self.conf.kubernetes.namespace
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)
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status = pod.status.phase
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return True if status == 'Succeeded' else False
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try:
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r = tenacity.Retrying(
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wait=tenacity.wait_fixed(1),
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stop=tenacity.stop_after_delay(180),
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retry=tenacity.retry_if_result(
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lambda result: result is False)
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)
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r.call(_wait_complete)
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except Exception as e:
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LOG.exception(
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"Failed to get pod output, pod: %s, error: %s",
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identifier, str(e)
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)
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return False, {'error': 'Function execution failed.'}
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output = self.v1.read_namespaced_pod_log(
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identifier,
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self.conf.kubernetes.namespace,
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)
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return True, output
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def delete_function(self, function_id, version, labels=None):
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"""Delete related resources for function.
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- Delete service
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- Delete pods
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"""
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pre_label = {
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'function_id': function_id,
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'function_version': str(version)
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}
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labels = labels or pre_label
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selector = common.convert_dict_to_string(labels)
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ret = self.v1.list_namespaced_service(
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self.conf.kubernetes.namespace, label_selector=selector
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)
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names = [i.metadata.name for i in ret.items]
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for svc_name in names:
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self.v1.delete_namespaced_service(
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svc_name,
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self.conf.kubernetes.namespace,
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V1DeleteOptions(),
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)
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self.v1.delete_collection_namespaced_pod(
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self.conf.kubernetes.namespace,
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label_selector=selector
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)
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def scaleup_function(self, function_id, version, identifier=None, count=1):
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pod_names = []
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labels = {'runtime_id': identifier}
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pods = self._choose_available_pods(labels, count=count)
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if not pods:
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raise exc.OrchestratorException('Not enough workers available.')
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for pod in pods:
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pod_name, service_url = self._prepare_pod(
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pod, identifier, function_id, version, labels
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)
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pod_names.append(pod_name)
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LOG.info('Pods scaled up for function %s(version %s): %s', function_id,
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version, pod_names)
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return pod_names, service_url
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def delete_worker(self, pod_name, **kwargs):
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self.v1.delete_namespaced_pod(
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pod_name,
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self.conf.kubernetes.namespace,
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{}
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)
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