1 # ============LICENSE_START=======================================================
3 # ================================================================================
4 # Copyright (c) 2018 AT&T Intellectual Property. All rights reserved.
5 # ================================================================================
6 # Licensed under the Apache License, Version 2.0 (the "License");
7 # you may not use this file except in compliance with the License.
8 # You may obtain a copy of the License at
10 # http://www.apache.org/licenses/LICENSE-2.0
12 # Unless required by applicable law or agreed to in writing, software
13 # distributed under the License is distributed on an "AS IS" BASIS,
14 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
15 # See the License for the specific language governing permissions and
16 # limitations under the License.
17 # ============LICENSE_END=========================================================
19 # ECOMP is a trademark and service mark of AT&T Intellectual Property.
23 from kubernetes import config, client
25 # Default values for readiness probe
26 PROBE_DEFAULT_PERIOD = 15
27 PROBE_DEFAULT_TIMEOUT = 1
29 def _create_deployment_name(component_name):
30 return "dep-{0}".format(component_name)
32 def _create_service_name(component_name):
33 return "{0}".format(component_name)
35 def _create_exposed_service_name(component_name):
36 return ("x{0}".format(component_name))[:63]
39 # Look for a kubernetes config file in ~/.kube/config
40 kubepath = os.path.join(os.environ["HOME"], '.kube/config')
41 if os.path.exists(kubepath):
42 config.load_kube_config(kubepath)
44 # Maybe we're running in a k8s container and we can use info provided by k8s
45 # We would like to use:
46 # config.load_incluster_config()
47 # but this looks into os.environ for kubernetes host and port, and from
48 # the plugin those aren't visible. So we use the InClusterConfigLoader class,
49 # where we can set the environment to what we like.
50 # This is probably brittle! Maybe there's a better alternative.
52 config.incluster_config.SERVICE_HOST_ENV_NAME : "kubernetes.default.svc.cluster.local",
53 config.incluster_config.SERVICE_PORT_ENV_NAME : "443"
55 config.incluster_config.InClusterConfigLoader(
56 token_filename=config.incluster_config.SERVICE_TOKEN_FILENAME,
57 cert_filename=config.incluster_config.SERVICE_CERT_FILENAME,
61 def _create_probe(hc, port):
62 ''' Create a Kubernetes probe based on info in the health check dictionary hc '''
63 probe_type = hc['type']
65 period = hc.get('interval', PROBE_DEFAULT_PERIOD)
66 timeout = hc.get('timeout', PROBE_DEFAULT_TIMEOUT)
67 if probe_type == 'http' or probe_type == 'https':
68 probe = client.V1Probe(
69 failure_threshold = 1,
70 initial_delay_seconds = 5,
71 period_seconds = period,
72 timeout_seconds = timeout,
73 http_get = client.V1HTTPGetAction(
74 path = hc['endpoint'],
76 scheme = probe_type.upper()
79 elif probe_type == 'script' or probe_type == 'docker':
80 probe = client.V1Probe(
81 failure_threshold = 1,
82 initial_delay_seconds = 5,
83 period_seconds = period,
84 timeout_seconds = timeout,
85 _exec = client.V1ExecAction(
86 command = [hc['script']]
91 def _create_container_object(name, image, always_pull, env={}, container_ports=[], volume_mounts = [], readiness = None):
92 # Set up environment variables
93 # Copy any passed in environment variables
94 env_vars = [client.V1EnvVar(name=k, value=env[k]) for k in env.keys()]
95 # Add POD_IP with the IP address of the pod running the container
96 pod_ip = client.V1EnvVarSource(field_ref = client.V1ObjectFieldSelector(field_path="status.podIP"))
97 env_vars.append(client.V1EnvVar(name="POD_IP",value_from=pod_ip))
99 # If a health check is specified, create a readiness probe
100 # (For an HTTP-based check, we assume it's at the first container port)
105 if len(container_ports) > 0:
106 hc_port = container_ports[0]
107 probe = _create_probe(readiness, hc_port)
109 # Define container for pod
110 return client.V1Container(
113 image_pull_policy='Always' if always_pull else 'IfNotPresent',
115 ports=[client.V1ContainerPort(container_port=p) for p in container_ports],
116 volume_mounts = volume_mounts,
117 readiness_probe = probe
120 def _create_deployment_object(component_name,
127 # pull_secrets is a list of the names of the k8s secrets containing docker registry credentials
128 # See https://kubernetes.io/docs/concepts/containers/images/#specifying-imagepullsecrets-on-a-pod
130 for secret in pull_secrets:
131 ips.append(client.V1LocalObjectReference(name=secret))
133 # Define pod template
134 template = client.V1PodTemplateSpec(
135 metadata=client.V1ObjectMeta(labels=labels),
136 spec=client.V1PodSpec(hostname=component_name,
137 containers=containers,
139 image_pull_secrets=ips)
142 # Define deployment spec
143 spec = client.ExtensionsV1beta1DeploymentSpec(
148 # Create deployment object
149 deployment = client.ExtensionsV1beta1Deployment(
151 metadata=client.V1ObjectMeta(name=_create_deployment_name(component_name)),
157 def _create_service_object(service_name, component_name, service_ports, annotations, labels, service_type):
158 service_spec = client.V1ServiceSpec(
160 selector={"app" : component_name},
164 metadata = client.V1ObjectMeta(name=_create_service_name(service_name), labels=labels, annotations=annotations)
166 metadata = client.V1ObjectMeta(name=_create_service_name(service_name), labels=labels)
168 service = client.V1Service(
176 def _parse_ports(port_list):
181 [container, host] = (p.strip()).split(":",2)
182 cport = int(container)
183 container_ports.append(cport)
185 port_map[container] = hport
187 pass # if something doesn't parse, we just ignore it
189 return container_ports, port_map
191 def _parse_volumes(volume_list):
194 for v in volume_list:
195 vname = str(uuid.uuid4())
196 vhost = v['host']['path']
197 vcontainer = v['container']['bind']
198 vro = (v['container']['mode'] == 'ro')
199 volumes.append(client.V1Volume(name=vname, host_path=client.V1HostPathVolumeSource(path=vhost)))
200 volume_mounts.append(client.V1VolumeMount(name=vname, mount_path=vcontainer, read_only=vro))
202 return volumes, volume_mounts
204 def _service_exists(namespace, component_name):
208 client.CoreV1Api().read_namespaced_service(_create_service_name(component_name), namespace)
210 except client.rest.ApiException:
215 def deploy(namespace, component_name, image, replicas, always_pull, k8sconfig, **kwargs):
217 This will create a k8s Deployment and, if needed, one or two k8s Services.
218 (We are being opinionated in our use of k8s... this code decides what k8s abstractions and features to use.
219 We're not exposing k8s to the component developer and the blueprint author.
220 This is a conscious choice. We want to use k8s in a controlled, consistent way, and we want to hide
221 the details from the component developer and the blueprint author.)
223 namespace: the Kubernetes namespace into which the component is deployed
224 component_name: the component name, used to derive names of Kubernetes entities
225 image: the docker image for the component being deployed
226 replica: the number of instances of the component to be deployed
227 always_pull: boolean flag, indicating that Kubernetes should always pull a new copy of
228 the Docker image for the component, even if it is already present on the Kubernetes node.
230 - image_pull_secrets: a list of names of image pull secrets that can be used for retrieving images.
231 (DON'T PANIC: these are just the names of secrets held in the Kubernetes secret store.)
232 - filebeat: a dictionary of filebeat sidecar parameters:
233 "log_path" : mount point for log volume in filebeat container
234 "data_path" : mount point for data volume in filebeat container
235 "config_path" : mount point for config volume in filebeat container
236 "config_subpath" : subpath for config data in filebeat container
237 "config_map" : ConfigMap holding the filebeat configuration
238 "image": Docker image to use for filebeat
240 - volumes: array of volume objects, where a volume object is:
241 {"host":{"path": "/path/on/host"}, "container":{"bind":"/path/on/container","mode":"rw_or_ro"}
242 - ports: array of strings in the form "container_port:host_port"
243 - env: map of name-value pairs ( {name0: value0, name1: value1...}
244 - msb_list: array of msb objects, where an msb object is as described in msb/msb.py.
245 - log_info: an object with info for setting up ELK logging, with the form:
246 {"log_directory": "/path/to/container/log/directory", "alternate_fb_path" : "/alternate/sidecar/log/path"}
247 - labels: dict with label-name/label-value pairs, e.g. {"cfydeployment" : "lsdfkladflksdfsjkl", "cfynode":"mycomponent"}
248 These label will be set on all the pods deployed as a result of this deploy() invocation.
249 - readiness: dict with health check info; if present, used to create a readiness probe for the main container. Includes:
250 - type: check is done by making http(s) request to an endpoint ("http", "https") or by exec'ing a script in the container ("script", "docker")
251 - interval: period (in seconds) between probes
252 - timeout: time (in seconds) to allow a probe to complete
253 - endpoint: the path portion of the URL that points to the readiness endpoint for "http" and "https" types
254 - path: the full path to the script to be executed in the container for "script" and "docker" types
258 deployment_ok = False
259 cip_service_created = False
260 deployment_description = {
261 "namespace": namespace,
270 core = client.CoreV1Api()
271 ext = client.ExtensionsV1beta1Api()
273 # Parse the port mapping into [container_port,...] and [{"host_port" : "container_port"},...]
274 container_ports, port_map = _parse_ports(kwargs.get("ports", []))
276 # Parse the volumes list into volumes and volume_mounts for the deployment
277 volumes, volume_mounts = _parse_volumes(kwargs.get("volumes",[]))
279 # Initialize the list of containers that will be part of the pod
282 # Set up the ELK logging sidecar container, if needed
283 log_info = kwargs.get("log_info")
284 if log_info and "log_directory" in log_info:
285 log_dir = log_info["log_directory"]
286 fb = k8sconfig["filebeat"]
287 sidecar_volume_mounts = []
289 # Create the volume for component log files and volume mounts for the component and sidecar containers
290 volumes.append(client.V1Volume(name="component-log", empty_dir=client.V1EmptyDirVolumeSource()))
291 volume_mounts.append(client.V1VolumeMount(name="component-log", mount_path=log_dir))
292 sc_path = log_info["alternate_fb_path"] if "alternate_fb_path" in log_info \
293 else "{0}/{1}".format(fb["log_path"], component_name)
294 sidecar_volume_mounts.append(client.V1VolumeMount(name="component-log", mount_path=sc_path))
296 # Create the volume for sidecar data and the volume mount for it
297 volumes.append(client.V1Volume(name="filebeat-data", empty_dir=client.V1EmptyDirVolumeSource()))
298 sidecar_volume_mounts.append(client.V1VolumeMount(name="filebeat-data", mount_path=fb["data_path"]))
300 # Create the container for the sidecar
301 containers.append(_create_container_object("filebeat", fb["image"], False, {}, [], sidecar_volume_mounts))
303 # Create the volume for the sidecar configuration data and the volume mount for it
304 # The configuration data is in a k8s ConfigMap that should be created when DCAE is installed.
306 client.V1Volume(name="filebeat-conf", config_map=client.V1ConfigMapVolumeSource(name=fb["config_map"])))
307 sidecar_volume_mounts.append(
308 client.V1VolumeMount(name="filebeat-conf", mount_path=fb["config_path"], sub_path=fb["config_subpath"]))
310 # Create the container for the component
311 # Make it the first container in the pod
312 containers.insert(0, _create_container_object(component_name, image, always_pull, kwargs.get("env", {}), container_ports, volume_mounts, kwargs["readiness"]))
314 # Build the k8s Deployment object
315 labels = kwargs.get("labels", {})
316 labels.update({"app": component_name})
317 dep = _create_deployment_object(component_name, containers, replicas, volumes, labels, pull_secrets=k8sconfig["image_pull_secrets"])
320 ext.create_namespaced_deployment(namespace, dep)
322 deployment_description["deployment"] = _create_deployment_name(component_name)
324 # Create service(s), if a port mapping is specified
326 service_ports = [] # Ports exposed internally on the k8s network
327 exposed_ports = [] # Ports to be mapped to ports on the k8s nodes via NodePort
328 for cport, hport in port_map.iteritems():
329 service_ports.append(client.V1ServicePort(port=int(cport),name="port-{}".format(cport)))
331 exposed_ports.append(client.V1ServicePort(port=int(cport), node_port=int(hport),name="xport-{}".format(cport)))
333 # If there are ports to be exposed via MSB, set up the annotation for the service
334 msb_list = kwargs.get("msb_list")
335 annotations = msb.create_msb_annotation(msb_list) if msb_list else ''
337 # Create a ClusterIP service for access via the k8s network
338 service = _create_service_object(_create_service_name(component_name), component_name, service_ports, annotations, labels, "ClusterIP")
339 core.create_namespaced_service(namespace, service)
340 cip_service_created = True
341 deployment_description["services"].append(_create_service_name(component_name))
343 # If there are ports to be exposed on the k8s nodes, create a "NodePort" service
344 if len(exposed_ports) > 0:
346 _create_service_object(_create_exposed_service_name(component_name), component_name, exposed_ports, '', labels, "NodePort")
347 core.create_namespaced_service(namespace, exposed_service)
348 deployment_description["services"].append(_create_exposed_service_name(component_name))
350 except Exception as e:
351 # If the ClusterIP service was created, delete the service:
352 if cip_service_created:
353 core.delete_namespaced_service(_create_service_name(component_name), namespace)
354 # If the deployment was created but not the service, delete the deployment
356 client.ExtensionsV1beta1Api().delete_namespaced_deployment(_create_deployment_name(component_name), namespace, client.V1DeleteOptions())
359 return dep, deployment_description
361 def undeploy(deployment_description):
362 # TODO: do real configuration
365 namespace = deployment_description["namespace"]
367 # remove any services associated with the component
368 for service in deployment_description["services"]:
369 client.CoreV1Api().delete_namespaced_service(service, namespace)
371 # Have k8s delete the underlying pods and replicaset when deleting the deployment.
372 options = client.V1DeleteOptions(propagation_policy="Foreground")
373 client.ExtensionsV1beta1Api().delete_namespaced_deployment(deployment_description["deployment"], namespace, options)
375 def is_available(namespace, component_name):
377 dep_status = client.AppsV1beta1Api().read_namespaced_deployment_status(_create_deployment_name(component_name), namespace)
378 # Check if the number of available replicas is equal to the number requested
379 return dep_status.status.available_replicas >= dep_status.spec.replicas
381 def scale(deployment_description, replicas):
382 # TODO: do real configuration
385 namespace = deployment_description["namespace"]
386 name = deployment_description["deployment"]
388 # Get deployment spec
389 spec = client.ExtensionsV1beta1Api().read_namespaced_deployment(name, namespace)
391 # Update the replica count in the spec
392 spec.spec.replicas = replicas
393 client.ExtensionsV1beta1Api().patch_namespaced_deployment(name, namespace, spec)