class Deployment(object):
"""
This class creates and manages a single deployment object
A deployment consists of the following specifications in kubernetes
1. A kubernetes deployment spec
2. Zero or more kubernetes service specs
3. Zero or more ingress rules
All functions in the object need to be idempotent.
"""
def __init__(self, name, application):
"""
Each deployment has a name and needs to be part of an application
Application maps to a kubernetes namespace and the deployment will
be created in this namespace.
Args:
name: deployment name
application: the application that this deployment runs under
"""
self.name = name
self.application = application
self.client = KubernetesApiClient(use_proxy=True)
self._nameid = AXClusterId().get_cluster_name_id()
self._software_info = SoftwareInfo()
self._app_obj = Application(application)
self._resources = AXResources()
self.spec = None
def create(self, spec):
"""
Create a deployment from the template specified
Idempotency: This function is idempotent. A create of identical spec will
have no impact if the deployment already exists. If the spec is different
then the existing deployment will be updated.
"""
@retry_unless(status_code=[404, 422])
def create_in_provider(k8s_spec):
try:
logger.info("Creating deployment %s in Kubernetes namespace %s", self.name, self.application)
self.client.apisappsv1beta1_api.create_namespaced_deployment(k8s_spec, self.application)
logger.info("Done creating deployment %s in Kubernetes namespace %s", self.name, self.application)
except swagger_client.rest.ApiException as e:
if e.status == 409:
self.client.apisappsv1beta1_api.replace_namespaced_deployment(k8s_spec, self.application, self.name)
else:
raise e
with DeploymentOperation(self):
self.spec = spec
# Do some template checks
self._template_checks()
# First create supplemental resources such as routes, ingress rules etc
self._create_deployment_resources()
# Now create the deployment spec
d_spec = self._create_deployment_spec()
# Store the resources in the deployment spec
self._resources.finalize(d_spec)
# Create the deployment object in kubernetes
create_in_provider(d_spec)
def delete(self, timeout=None):
"""
Delete the deployment.
Idempotency: This function is idempotent. If deployment does not exist then
delete will silently fail without raising any exceptions.
Args:
timeout: In seconds or None for infinite
"""
options = swagger_client.V1DeleteOptions()
options.grace_period_seconds = 1
options.orphan_dependents = False
def check_result(result):
# True for retry False for done
return not result
@retry(retry_on_result=check_result, wait_fixed=2000, stop_max_delay=timeout)
def wait_for_scale_to_zero():
logger.debug("Wait for scale of deployment to 0 for {} {}".format(self.application, self.name))
@retry_unless(swallow_code=[404])
def get_scale_from_provider():
return self.client.apisappsv1beta1_api.read_namespaced_scale_scale(self.application, self.name)
scale = get_scale_from_provider()
if scale is None:
return True
if scale.status.replicas == 0:
return True
return False
@retry_unless(swallow_code=[404, 409])
def delete_in_provider():
logger.debug("Deleting deployment for {} {}".format(self.application, self.name))
self.client.apisappsv1beta1_api.delete_namespaced_deployment(options, self.application, self.name)
def delete_rs_in_provider():
logger.debug("Deleting replica set for {} {}".format(self.application, self.name))
self.client.extensionsv1beta1.deletecollection_namespaced_replica_set(self.application, label_selector="deployment={}".format(self.name))
# now delete deployment object and replication set
with DeploymentOperation(self):
dep_obj = self._deployment_status()
self._scale_to(0)
wait_for_scale_to_zero()
if dep_obj:
resources = AXResources(existing=dep_obj)
resources.delete_all()
delete_in_provider()
delete_rs_in_provider()
def status(self):
"""
Get the status of the deployment.
Returns: Returns the entire V1Deployment as a dict.
If deployment is not found then this will raise an AXNotFoundException (404)
"""
# STEP 1: Get status of deployment
stat = self._deployment_status()
if stat is None:
raise AXNotFoundException("Deployment {} not found in application {}".format(self.name, self.application))
dep_field_map = {
"name": "metadata.name",
"generation": "metadata.annotations.ax_generation",
"desired_replicas": "status.replicas",
"available_replicas": "status.available_replicas",
"unavailable_replicas": "status.unavailable_replicas"
}
ret = KubeObject.swagger_obj_extract(stat, dep_field_map, serializable=True)
# STEP 2: Get the pods for the deployment and events associated
podlist = self._deployment_pods().items
dep_events = self._app_obj.events(name=self.name)
event_field_map = {
"message": "message",
"reason": "reason",
"source": "source.component",
"host": "source.host",
"firstTS": "first_timestamp",
"lastTS": "last_timestamp",
"count": "count",
"container": "involved_object.field_path",
"type": "type"
}
ret["events"] = []
for event in dep_events:
ret["events"].append(KubeObject.swagger_obj_extract(event, event_field_map, serializable=True))
ret["pods"] = []
for pod in podlist or []:
# fill pod status and containers
pstatus = Pod.massage_pod_status(pod)
# fill events for pod
pstatus["events"] = []
events = self._app_obj.events(name=pod.metadata.name)
for event in events:
pstatus["events"].append(KubeObject.swagger_obj_extract(event, event_field_map, serializable=True))
# fill pod failure information for pod based on events
pstatus["failure"] = Deployment._pod_failed_info(pstatus)
ret["pods"].append(pstatus)
# STEP 3: From the deployment spec get the resources created by deployment
# TODO: Add this when services are created by deployment
return ret
def get_labels(self):
"""
Get a dict of labels used for this deployment
"""
state = self._deployment_status()
if state is None:
raise AXNotFoundException("Did not find deployment {} in application {}".format(self.name, self.application))
return KubeObject.swagger_obj_extract(state, {"labels": "spec.selector.match_labels"})['labels']
@staticmethod
def _pod_failed_info(pod_status):
if pod_status["phase"] != "Pending":
return None
for ev in pod_status["events"] or []:
if ev["reason"] == "Failed" and ev["source"] == "kubelet" and ev["type"] == "Warning" and \
"Failed to pull image" in ev["message"] and ev["count"] > 5:
return {
"reason": "ImagePullFailure",
"message": ev["message"]
}
return None
def scale(self, replicas):
with DeploymentOperation(self):
# Deployments with volumes can't be scaled to > 1.
if replicas > 1:
dep_obj = self._deployment_status()
if dep_obj:
resources = AXResources(existing=dep_obj)
for type in resources.get_all_types():
if type.startswith("ax.platform.volumes"):
raise AXApiForbiddenReq("Deployments with volumes can't be scaled to > 1 ({})".format(replicas))
self._scale_to(replicas)
@retry_unless(swallow_code=[404])
def _deployment_status(self):
return self.client.apisappsv1beta1_api.read_namespaced_deployment(self.application, self.name)
@retry_unless(swallow_code=[404])
def _deployment_pods(self):
return self.client.api.list_namespaced_pod(self.application, label_selector="deployment={}".format(self.name))
def _create_deployment_spec(self):
pod_spec = PodSpec(self.name, namespace=self.application)
main_container = self.spec.template.get_main_container()
main_container_spec = self._create_main_container_spec(main_container)
pod_spec.add_main_container(main_container_spec)
container_vols = self._get_main_container_vols()
main_container_spec.add_volumes(container_vols)
hw_res = main_container.get_resources()
main_container_spec.add_resource_constraints("cpu_cores", hw_res.cpu_cores, limit=None)
main_container_spec.add_resource_constraints("mem_mib", hw_res.mem_mib, limit=None)
artifacts_container = pod_spec.enable_artifacts(self._software_info.image_namespace, self._software_info.image_version,
None, main_container.to_dict())
secret_resources = artifacts_container.add_configs_as_vols(main_container.get_all_configs(), self.name, self.application)
self._resources.insert_all(secret_resources)
# Set up special circumstances based on annotations
# Check if we need to circumvent the executor script. This is needed for containers that run
# special init processes such as systemd as these processes like to be pid 1
if main_container.executor_spec:
main_container_spec.command = None
if main_container.docker_spec is not None:
raise ValueError("We do not support ax_ea_docker_enable with ax_ea_executor")
# Does this container need to be privileged
main_container_spec.privileged = main_container.privileged
# Check if docker daemon sidecar needs to be added
if main_container.docker_spec:
# graph storage size is specified in GiB
dind_container_spec = pod_spec.enable_docker(main_container.docker_spec.graph_storage_size_mib)
dind_container_spec.add_volumes(pod_spec.get_artifact_vols())
dind_container_spec.add_resource_constraints("cpu_cores", main_container.docker_spec.cpu_cores, limit=None)
dind_container_spec.add_resource_constraints("mem_mib", main_container.docker_spec.mem_mib, limit=None)
dind_container_spec.add_volumes(container_vols)
# Do we only need docker graph storage volume for the main container
if main_container.graph_storage:
dgs_vol = ContainerVolume("graph-storage-vol-only", main_container.graph_storage.mount_path)
dgs_vol.set_type("DOCKERGRAPHSTORAGE", main_container.graph_storage.graph_storage_size_mib)
main_container_spec.add_volume(dgs_vol)
# set the pod hostname to value provided in main container spec
pod_spec.hostname = main_container.hostname
# TODO: This needs fixup. job name is used in init container to ask permission to start
# TODO: Don't know if this is needed in deployment or not?
artifacts_container.add_env("AX_JOB_NAME", value=self.application)
artifacts_container.add_env("AX_DEPLOYMENT_NEW", value="True")
if len(container_vols) > 0:
tmp_container_vols = copy.deepcopy(container_vols)
volume_paths = []
for v in tmp_container_vols:
v.set_mount_path("/ax/fix" + v.volmount.mount_path)
volume_paths.append(v.volmount.mount_path)
artifacts_container.add_volumes(tmp_container_vols)
logger.info("Volumes to chmod: %s", volume_paths)
artifacts_container.add_env("AX_VOL_MOUNT_PATHS", value=str(volume_paths))
# add annotation for service env which will show up in artifacts container
pod_spec.add_annotation("AX_SERVICE_ENV", self._generate_service_env(self.spec.template))
pod_spec.add_annotation("AX_IDENTIFIERS", self._get_identifiers())
if self.spec.costid:
pod_spec.add_annotation("ax_costid", json.dumps(self.spec.costid))
pod_spec.add_label("deployment", self.name)
pod_spec.add_label("application", self.application)
pod_spec.add_label("tier", "user")
pod_spec.add_label("deployment_id", self.spec.id)
# now that pod is ready get its spec and wrap it in a deployment
k8s_spec = self._generate_deployment_spec_for_pod(pod_spec.get_spec())
logger.info("Generated Kubernetes spec for deployment %s", self.name)
return k8s_spec
def _create_main_container_spec(self, container_template):
"""
:type container_template: argo.template.v1.container.ContainerTemplate
:rtype Container
"""
logger.debug("Container template is {}".format(container_template))
name = string_to_dns_label(container_template.name)
container_spec = Container(name, container_template.image, pull_policy=container_template.image_pull_policy)
container_spec.parse_probe_spec(container_template)
# Necessary envs for handshake
container_spec.add_env("AX_HANDSHAKE_VERSION", value=CUR_RECORD_VERSION)
# Envs introduced to user
container_spec.add_env("AX_POD_NAME", value_from="metadata.name")
container_spec.add_env("AX_POD_IP", value_from="status.podIP")
container_spec.add_env("AX_POD_NAMESPACE", value_from="metadata.namespace")
container_spec.add_env("AX_NODE_NAME", value_from="spec.nodeName")
container_spec.add_env("AX_CLUSTER_META_URL_V1", value=CLUSTER_META_URL_V1)
# envs from user spec
for env in container_template.env:
(cfg_ns, cfg_name, cfg_key) = env.get_config()
if cfg_ns is not None:
secret = SecretResource(cfg_ns, cfg_name, self.name, self.application)
secret.create()
self._resources.insert(secret)
container_spec.add_env(env.name, value_from_secret=(secret.get_resource_name(), cfg_key))
else:
container_spec.add_env(env.name, value=env.value)
# Unix socket for applet
applet_sock = ContainerVolume("applet", "/tmp/applatix.io/")
applet_sock.set_type("HOSTPATH", "/var/run/")
container_spec.add_volume(applet_sock)
return container_spec
@staticmethod
def _get_valid_name_from_axrn(axrn):
# AXRN's will have non-alphanumeric characters such as : / @, etc which K8S doesn't
# like in its PVC name. Replace all non-alphanumeric characters with -.
name_regex = re.compile(r"\W+")
return name_regex.sub("-", axrn).replace("_", "-")
def _get_main_container_vols(self):
container_template = self.spec.template.get_main_container()
ret = []
for vol_name, vol in iteritems(container_template.inputs.volumes):
# sanitize the volume name for kubernetes
vol_name = string_to_dns_label(vol_name)
cvol = ContainerVolume(vol_name, vol.mount_path)
assert "resource_id" in vol.details, "Volume resource-id absent in volume details"
assert "filesystem" in vol.details, "Volume filesystem absent in volume details"
cvol.set_type("AWS_EBS", vol_name, vol.details["resource_id"], vol.details["filesystem"])
logger.debug("Volume {} {} mounted at {}".format(vol_name, vol.details, vol.mount_path))
ret.append(cvol)
return ret
def _generate_service_env(self, template):
return base64.b64encode(json.dumps(template.to_dict()))
def _get_identifiers(self):
return {
"application_id": self.spec.app_generation,
"deployment_id": self.spec.id,
"static": {
"application_id": self.spec.app_id,
"deployment_id": self.spec.deployment_id
}
}
def _generate_deployment_spec_for_pod(self, pod_spec):
metadata = swagger_client.V1ObjectMeta()
metadata.name = self.name
dspec = swagger_client.V1beta1DeploymentSpec()
dspec.strategy = self._get_strategy()
if self.spec.template.min_ready_seconds:
dspec.min_ready_seconds = self.spec.template.min_ready_seconds
dspec.selector = swagger_client.V1LabelSelector()
dspec.selector.match_labels = {
"deployment": self.name
}
dspec.replicas = self.spec.template.scale.min
dspec.template = pod_spec
deployment_obj = swagger_client.V1beta1Deployment()
deployment_obj.metadata = metadata
deployment_obj.spec = dspec
return deployment_obj
def _create_deployment_resources(self):
for route in self.spec.template.internal_routes:
# ignore empty port spec
if len(route.ports) == 0:
logger.debug("Skipping internal route {} as port spec is empty".format(route.name))
continue
ir = InternalRoute(route.name, self.application)
ir.create(route.to_dict()["ports"], selector={"deployment": self.name}, owner=self.name)
self._resources.insert(ir)
logger.debug("Created route {}".format(ir))
for route in self.spec.template.external_routes:
dns_name = route.dns_name()
if dns_name.endswith("."):
dns_name = dns_name[:-1]
r = ExternalRoute(dns_name, self.application, {"deployment": self.name}, route.target_port, route.ip_white_list, route.visibility)
try:
elb_addr = visibility_to_elb_addr(route.visibility)
elb_name = visibility_to_elb_name(route.visibility)
except AXNotFoundException:
if route.visibility == ExternalRouteVisibility.VISIBILITY_WORLD:
raise AXNotFoundException("Could not find the public ELB. Please report this error to Applatix Support at [email protected]")
else:
assert route.visibility == ExternalRouteVisibility.VISIBILITY_ORGANIZATION, "Only world and organization are currently supported as visibility attributes"
raise AXNotFoundException("Please create a private ELB using the template named 'ax_private_elb_creator_workflow' before using 'visibility=organization'")
name = r.create(elb_addr,elb_name=elb_name)
self._resources.insert(r)
logger.debug("Created external route {} for {}/{}/{}".format(name, self.application, self.name, dns_name))
main_container = self.spec.template.get_main_container()
for key_name, vol in iteritems(main_container.inputs.volumes):
assert "resource_id" in vol.details, "Volume resource_id absent in volume details"
name = vol.details.get("axrn", None)
resource_id = vol.details.get("resource_id", None)
assert name is not None and resource_id is not None, "axrn and resource_id are required details for volume {}".format(key_name)
nv_res = AXNamedVolumeResource(name, resource_id)
nv_res.create()
self._resources.insert(nv_res)
logger.debug("Using named volume resource {} in application {}".format(name, self.application))
@retry_unless(status_code=[422], swallow_code=[400, 404])
def _scale_to(self, replicas):
logger.debug("Scaling deployment to {} for {} {}".format(replicas, self.application, self.name))
scale = swagger_client.V1beta1Scale()
scale.spec = swagger_client.V1beta1ScaleSpec()
scale.spec.replicas = replicas
scale.metadata = swagger_client.V1ObjectMeta()
scale.metadata.name = self.name
scale.metadata.namespace = self.application
self.client.apisappsv1beta1_api.replace_namespaced_scale_scale(scale, self.application, self.name)
def _template_checks(self):
if self.spec.template.scale and self.spec.template.scale.min > 1 and len(self.spec.template.volumes) >= 1:
raise ValueError("Deployments with volumes can't have scale > 1 ({})".format(self.spec.template.scale.min))
def _get_strategy(self):
s = swagger_client.V1beta1DeploymentStrategy()
s.type = "RollingUpdate" if self.spec.template.strategy.type == "rolling_update" else "Recreate"
if s.type == "RollingUpdate":
rolling_update = swagger_client.V1beta1RollingUpdateDeployment()
rolling_update.max_unavailable = self.spec.template.strategy.rolling_update.max_unavailable
rolling_update.max_surge = self.spec.template.strategy.rolling_update.max_surge
s.rolling_update = rolling_update
return s
class Task(object):
"""
The job of this object is to track the creation and deletion of a step in a workflow.
Callers can create this object with the specification from service template, followed
by call to create, wait_for_start etc
"""
def __init__(self, name, namespace="axuser"):
self.name = name
self.namespace = namespace
self.client = KubernetesApiClient(use_proxy=True)
self.service = None # this is the argo.services.service.Service object
self._host_vols = []
self._name_id = AXClusterId().get_cluster_name_id()
self._s3_bucket_ax_is_external = AXLogPath(self._name_id).is_external()
self._s3_bucket_ax = AXLogPath(self._name_id).bucket()
self._s3_key_prefix_ax = AXLogPath(self._name_id).artifact()
self._s3_bucket = AXClusterDataPath(self._name_id).bucket()
self._s3_key_prefix = AXClusterDataPath(self._name_id).artifact()
self.software_info = SoftwareInfo()
self._resources = AXResources()
def create(self, conf):
"""
Create a Kubernetes Job object
:param conf: conf data from DevOps
:return:
"""
logger.debug("Task create for {}".format(json.dumps(conf)))
self.service = Service()
self.service.parse(conf)
labels = {
"app":
self.name,
"service_instance_id":
self.service.service_context.service_instance_id,
"root_workflow_id":
self.service.service_context.root_workflow_id,
"leaf_full_path":
string_to_k8s_label(self.service.service_context.leaf_full_path
or "no_path"),
"tier":
"devops",
"role":
"user",
}
template_spec = self._container_to_pod(labels)
# convert V1PodTemplateSpec to V1Pod
pod_spec = swagger_client.V1Pod()
pod_spec.metadata = template_spec.metadata
pod_spec.spec = template_spec.spec
self._resources.finalize(pod_spec)
logger.debug("pod_spec {}".format(json.dumps(pod_spec.to_dict())))
return pod_spec
def start(self, spec):
"""
Start a task
:param spec: The swagger specification for Pod
:type spec: swagger_client.V1Pod
:return:
"""
assert isinstance(
spec,
swagger_client.V1Pod), "Unexpected object {} in Task.start".format(
type(spec))
@retry_unless(status_code=[409, 422])
def create_in_provider():
return self.client.api.create_namespaced_pod(spec, self.namespace)
with TaskOperation(self):
return create_in_provider()
def status(self, status_obj=None):
"""
Return the status of the job with the pass name
Args:
status_obj: if passed the job status will be used instead of queried from provider
Returns: a json dict with task status
"""
if status_obj:
assert isinstance(
status_obj, swagger_client.V1Pod
), "Unexpected status object {} in Task.status".format(
type(status_obj))
status = status_obj
else:
status = Pod(self.name, self.namespace)._get_status_obj()
# pkg/api/v1/types.go in kubernetes source code describes the following PodPhase
# const (
# // PodPending means the pod has been accepted by the system, but one or more of the containers
# // has not been started. This includes time before being bound to a node, as well as time spent
# // pulling images onto the host.
# PodPending PodPhase = "Pending"
# // PodRunning means the pod has been bound to a node and all of the containers have been started.
# // At least one container is still running or is in the process of being restarted.
# PodRunning PodPhase = "Running"
# // PodSucceeded means that all containers in the pod have voluntarily terminated
# // with a container exit code of 0, and the system is not going to restart any of these containers.
# PodSucceeded PodPhase = "Succeeded"
# // PodFailed means that all containers in the pod have terminated, and at least one container has
# // terminated in a failure (exited with a non-zero exit code or was stopped by the system).
# PodFailed PodPhase = "Failed"
# // PodUnknown means that for some reason the state of the pod could not be obtained, typically due
# // to an error in communicating with the host of the pod.
# PodUnknown PodPhase = "Unknown"
# )
pending = True if status.status.phase == "Pending" else False
active = True if status.status.phase == "Running" or pending else False
failed = True if status.status.phase == "Failed" else False
completed = True if status.status.phase == "Succeeded" or failed else False
if status.status.phase == "Unknown":
raise AXPlatformException(
"Status of task {} could not be found due to some temporary problem. Please retry"
.format(self.name))
ret_status = {
"active": active,
"succeeded": completed,
# TODO: Should this be removed
"message": "",
"reason": "",
"failed": failed
}
if pending:
# If the pod is pending it is likely stuck on container image pull failure
try:
for init_status in status.status.init_container_statuses or []:
if init_status.state.waiting is not None:
# find the first init container that is stuck on waiting and stuff the reason and message
ret_status[
"reason"] = init_status.state.waiting.reason or ""
ret_status[
"message"] = init_status.state.waiting.message or ""
break
except Exception:
pass
return ret_status
def delete(self, force=False):
"""
Delete the task from kubernetes and returns the final status
Returns: Last status of the job
"""
logger.debug("Task delete for {}".format(self.name))
with TaskOperation(self):
status_obj = Pod(self.name, self.namespace)._get_status_obj()
status = self.status(status_obj=status_obj)
p = Pod(self.name, self.namespace)
if not force:
p.stop()
# delete dependents
resources = AXResources(existing=status_obj)
resources.delete_all()
# finally delete pod
p.delete()
return status
def get_log_endpoint(self):
url_run, _ = Pod(self.name, self.namespace).get_log_urls()
return url_run
def stop(self):
Pod(self.name, self.namespace).stop()
def _container_to_pod(self, labels):
# generate the service environment
self._gen_service_env()
pod_spec = PodSpec(self.name)
pod_spec.restart_policy = "Never"
main_container = self._container_spec()
for vol_tag, vol in iteritems(self.service.template.inputs.volumes):
# sanitize name for kubernetes
vol_tag = string_to_dns_label(vol_tag)
cvol = ContainerVolume(vol_tag, vol.mount_path)
assert "resource_id" in vol.details and "filesystem" in vol.details, "resource_id and filesystem are required fields in volume details"
cvol.set_type("AWS_EBS", vol_tag, vol.details["resource_id"],
vol.details["filesystem"])
main_container.add_volume(cvol)
logger.info("Mounting volume {} {} in {}".format(
vol_tag, vol.details, vol.mount_path))
pod_spec.add_main_container(main_container)
wait_container = self._generate_wait_container_spec()
pod_spec.add_wait_container(wait_container)
(cpu, mem, d_cpu, d_mem) = self._container_resources()
main_container.add_resource_constraints("cpu_cores", cpu, limit=None)
main_container.add_resource_constraints("mem_mib", mem, limit=mem)
# handle artifacts
self_sid = None
if self.service.service_context:
self_sid = self.service.service_context.service_instance_id
# TODO: This function calls ax_artifact and needs to be rewritten. Ugly code.
artifacts_container = pod_spec.enable_artifacts(
self.software_info.image_namespace,
self.software_info.image_version, self_sid,
self.service.template.to_dict())
artifacts_container.add_env("AX_JOB_NAME", value=self.name)
secret_resources = artifacts_container.add_configs_as_vols(
self.service.template.get_all_configs(), self.name, self.namespace)
self._resources.insert_all(secret_resources)
if self.service.template.docker_spec:
dind_c = pod_spec.enable_docker(
self.service.template.docker_spec.graph_storage_size_mib)
dind_c.add_volumes(pod_spec.get_artifact_vols())
dind_c.add_resource_constraints("cpu_cores", d_cpu, limit=None)
dind_c.add_resource_constraints("mem_mib", d_mem, limit=d_mem)
service_id = None
if self.service.service_context:
service_id = self.service.service_context.service_instance_id
pod_spec.add_annotation("ax_serviceid", service_id)
pod_spec.add_annotation("ax_costid", json.dumps(self.service.costid))
pod_spec.add_annotation("AX_SERVICE_ENV", self._gen_service_env())
for k in labels or []:
pod_spec.add_label(k, labels[k])
return pod_spec.get_spec()
def _container_spec(self):
"""
Converts service template to V1Container
"""
container = self.service.template
c = Container(container.name,
container.image,
pull_policy=container.image_pull_policy)
c.add_env("AX_CONTAINER_NAME", value=self.name)
c.add_env("AX_ROOT_SERVICE_INSTANCE_ID",
value=self.service.service_context.root_workflow_id)
c.add_env("AX_SERVICE_INSTANCE_ID",
value=self.service.service_context.service_instance_id)
# Envs introduced to user
c.add_env("AX_POD_NAME", value_from="metadata.name")
c.add_env("AX_POD_IP", value_from="status.podIP")
c.add_env("AX_POD_NAMESPACE", value_from="metadata.namespace")
c.add_env("AX_NODE_NAME", value_from="spec.nodeName")
c.add_env("AX_CLUSTER_META_URL_V1", value=CLUSTER_META_URL_V1)
for env in container.env:
(cfg_ns, cfg_name, cfg_key) = env.get_config()
if cfg_ns is not None: # checking one of them is enough
res = SecretResource(cfg_ns, cfg_name, self.name,
self.namespace)
res.create()
self._resources.insert(res)
c.add_env(env.name,
value_from_secret=(res.get_resource_name(), cfg_key))
else:
c.add_env(env.name, value=env.value)
return c
def _container_resources(self):
container = self.service.template
cpu = float(container.resources.cpu_cores)
mem = float(container.resources.mem_mib)
main_cpu = cpu
main_mem = mem
dind_cpu = 0.0
dind_mem = 0.0
if container.docker_spec:
dind_cpu = float(container.docker_spec.cpu_cores)
dind_mem = float(container.docker_spec.mem_mib)
main_cpu = cpu
main_mem = mem
if dind_mem < MEM_MIB_MIN_DOCKER_ENABLE:
raise ValueError(
"mem_mib must have a minimum value of {} for docker support"
.format(MEM_MIB_MIN_DOCKER_ENABLE))
if main_mem < MEM_MIB_MIN:
raise ValueError(
"mem_mib must have a minimum value of {}MB".format(
MEM_MIB_MIN))
return main_cpu, main_mem, dind_cpu, dind_mem
def _generate_wait_container_spec(self):
main_container_name = self.service.template.name
c = SidecarTask(main_container_name,
self.software_info.image_namespace,
self.software_info.image_version)
c.add_env("AX_MAIN_CONTAINER_NAME", value=main_container_name)
c.add_env("AX_JOB_NAME", value=self.name)
c.add_env("AX_CUSTOMER_ID", AXCustomerId().get_customer_id())
c.add_env("AX_REGION", AXClusterConfig().get_region())
c.add_env("AX_CLUSTER_NAME_ID", self._name_id)
return c
def _gen_service_env(self):
service_env = {
"container": {
"docker": {}
},
"s3_bucket": self._s3_bucket,
"s3_key_prefix": self._s3_key_prefix,
"s3_bucket_ax_is_external": self._s3_bucket_ax_is_external,
"s3_bucket_ax": self._s3_bucket_ax,
"s3_key_prefix_ax": self._s3_key_prefix_ax,
"docker_enable": self.service.template.docker_spec is not None
}
container = self.service.template
# if container is not 'once', i.e. need to be restarted if failed,
# set keep_return_code to be True so the inner_executor will pass-through the return code
service_env["keep_return_code"] = not container.once
service_env["container"]["docker"]["commands"] = container.command
service_env["container"]["docker"]["args"] = container.args
if container.inputs.count() > 0:
service_env["container"]["inputs"] = container.inputs.to_dict()
if container.outputs.count() > 0:
service_env["container"]["outputs"] = container.outputs.to_dict()
if self.service.service_context:
service_env["container"][
"service_context"] = self.service.service_context.to_dict()
service_env["container"]["service_context"][
"name"] = self.service.name
# use base64 encode then decode to accommodate all chars in json
# xxx todo: which unicode encode to use?
return base64.b64encode(json.dumps(service_env))
@staticmethod
def generate_name(conf):
"""
This function generates a kubernetes job name from a service template and also
ensures that the generated name has some relationship to human readable job names
while also being unique.
:param conf: service template
:return: job name string
"""
if not conf["template"].get("once", True):
# name is fully specified by caller. This is currently only used by
# workflow executor. No user jobs are expected to use this code path
# Workflow executor generates a unique name for the workflow so we
# do not have to worry about generating one for it.
name = conf.get("name", None)
if name is None:
raise ValueError(
"name is a required field in service object for once=false."
)
return string_to_dns_label(name)
else:
return string_to_dns_label(conf["id"])
@staticmethod
def insert_defaults(conf):
"""
This function inserts default that are required for Task processing
:param conf: input conf
:return: output conf
"""
if conf["template"].get("name", None) is None:
conf["template"]["name"] = "main"
else:
conf["template"]["name"] = string_to_dns_label(
conf["template"]["name"])
return conf
def delete(self, timeout=None):
"""
Delete the deployment.
Idempotency: This function is idempotent. If deployment does not exist then
delete will silently fail without raising any exceptions.
Args:
timeout: In seconds or None for infinite
"""
options = swagger_client.V1DeleteOptions()
options.grace_period_seconds = 1
options.orphan_dependents = False
def check_result(result):
# True for retry False for done
return not result
@retry(retry_on_result=check_result,
wait_fixed=2000,
stop_max_delay=timeout)
def wait_for_scale_to_zero():
logger.debug("Wait for scale of deployment to 0 for {} {}".format(
self.application, self.name))
@retry_unless(swallow_code=[404])
def get_scale_from_provider():
return self.client.apisappsv1beta1_api.read_namespaced_scale_scale(
self.application, self.name)
scale = get_scale_from_provider()
if scale is None:
return True
if scale.status.replicas == 0:
return True
return False
@retry_unless(swallow_code=[404, 409])
def delete_in_provider():
logger.debug("Deleting deployment for {} {}".format(
self.application, self.name))
self.client.apisappsv1beta1_api.delete_namespaced_deployment(
options, self.application, self.name)
def delete_rs_in_provider():
logger.debug("Deleting replica set for {} {}".format(
self.application, self.name))
self.client.extensionsv1beta1.deletecollection_namespaced_replica_set(
self.application,
label_selector="deployment={}".format(self.name))
# now delete deployment object and replication set
with DeploymentOperation(self):
dep_obj = self._deployment_status()
self._scale_to(0)
wait_for_scale_to_zero()
if dep_obj:
resources = AXResources(existing=dep_obj)
resources.delete_all()
delete_in_provider()
delete_rs_in_provider()
