418 lines
13 KiB
Python
418 lines
13 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 os
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import time
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import jinja2
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from kubernetes import client
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from oslo_log import log as logging
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import requests
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import yaml
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from qinling import context
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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.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):
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self.conf = conf
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client.Configuration().host = self.conf.kubernetes.kube_host
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self.v1 = client.CoreV1Api()
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self.v1extention = client.ExtensionsV1beta1Api()
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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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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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def create_pool(self, name, image, labels=None):
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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": labels if labels else {},
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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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}
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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.v1extention.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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LOG.info("Deployment for runtime %s created.", name)
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def delete_pool(self, name, labels=None):
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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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selector = common.convert_dict_to_string(labels)
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self.v1extention.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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)
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LOG.info("Services in deployment %s deleted.", name)
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self.v1extention.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, labels=None, 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.v1extention.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.v1extention.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.v1extention.create_namespaced_deployment_rollback_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_pod(self, labels):
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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) == 0:
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return None
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# Choose the last available one by default.
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pod = ret.items[-1]
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return pod
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def _prepare_pod(self, pod, deployment_name, function_id, labels, entry):
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"""Pod preparation.
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1. Update pod labels.
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2. Expose service and trigger package download.
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"""
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name = pod.metadata.name
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LOG.info(
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'Prepare pod %s in deployment %s for function %s',
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name, deployment_name, function_id
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)
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# Update pod label.
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pod_labels = pod.metadata.labels or {}
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pod_labels.update({'function_id': function_id})
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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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# Create service for the chosen pod.
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service_name = "service-%s" % function_id
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labels.update({'function_id': function_id})
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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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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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node_port = ret.spec.ports[0].node_port
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LOG.debug(
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'Service created for pod %s, service name: %s, node port: %s',
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name, service_name, node_port
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)
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# Get external ip address for an arbitrary node.
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ret = self.v1.list_node()
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addresses = ret.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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# Download code package into container.
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pod_service_url = 'http://%s:%s' % (node_ip, node_port)
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request_url = '%s/download' % pod_service_url
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download_url = (
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'http://%s:%s/v1/functions/%s?download=true' %
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(self.conf.kubernetes.qinling_service_address,
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self.conf.api.port, function_id)
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)
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data = {
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'download_url': download_url,
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'function_id': function_id,
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'entry': entry,
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'token': context.get_ctx().auth_token,
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}
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LOG.debug(
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'Send request to pod %s, request_url: %s, data: %s',
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name, request_url, data
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)
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# TODO(kong): Here we sleep some time to avoid 'Failed to establish a
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# new connection' error for some reason. Needs to find a better
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# solution.
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time.sleep(1)
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r = requests.post(request_url, json=data)
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if r.status_code != requests.codes.ok:
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raise exc.OrchestratorException(
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'Failed to download function code package.'
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)
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return name, pod_service_url
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def _create_pod(self, image, pod_name, labels, 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
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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 prepare_execution(self, function_id, image=None, identifier=None,
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labels=None, input=None, entry='main.main'):
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"""Prepare service URL for function.
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For image function, create a single pod with input, so the function
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will be executed.
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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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"""
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pod = None
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if image:
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self._create_pod(image, identifier, labels, input)
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return identifier, None
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else:
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pod = self._choose_available_pod(labels)
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if not pod:
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raise exc.OrchestratorException('No pod available.')
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return self._prepare_pod(pod, identifier, function_id, labels, entry)
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def run_execution(self, execution_id, function_id, input=None,
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identifier=None, service_url=None):
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if service_url:
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func_url = '%s/execute' % service_url
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data = {'input': input, 'execution_id': execution_id}
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LOG.info('Invoke function %s, url: %s', function_id, func_url)
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r = requests.post(func_url, json=data)
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return r.json()
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else:
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status = None
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# Wait for execution to be finished.
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# TODO(kong): Do not retry infinitely.
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while status != 'Succeeded':
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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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time.sleep(0.5)
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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 output
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def get_execution_log(self, execution_id, worker_name=None):
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logs = self.v1.read_namespaced_pod_log(
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worker_name,
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self.conf.kubernetes.namespace,
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)
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b_index = logs.index('Start execution: %s' % execution_id)
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end_string = 'Finished execution: %s' % execution_id
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e_index = logs.index(end_string)
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e_index += len(end_string)
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execution_log = logs[b_index:e_index]
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return execution_log
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def delete_function(self, function_id, labels=None):
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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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)
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LOG.info("Services for function %s deleted.", function_id)
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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("Pod for function %s deleted.", function_id)
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