class ClusterInstaller(ClusterOperationBase):
def __init__(self, cfg, kubeconfig=None):
assert isinstance(cfg, ClusterInstallConfig)
self._cfg = cfg
super(ClusterInstaller,
self).__init__(cluster_name=self._cfg.cluster_name,
cluster_id=self._cfg.cluster_id,
cloud_profile=self._cfg.cloud_profile,
generate_name_id=True,
dry_run=self._cfg.dry_run)
self._name_id = self._idobj.get_cluster_name_id()
# Ensure cluster buckets before instantiating any class that uses cluster buckets
# Note that AXClusterId object is an exception as we need to create cluster name_id
# first, instantiating buckets, and finally upload cluster name id
# TODO (#116) bucket initialization should not depend on cluster name id
AXClusterBuckets(name_id=self._name_id,
aws_profile=self._cfg.cloud_profile,
aws_region=self._cfg.cloud_region).update()
self._cluster_config = AXClusterConfig(
cluster_name_id=self._name_id, aws_profile=self._cfg.cloud_profile)
self._cluster_info = AXClusterInfo(cluster_name_id=self._name_id,
aws_profile=self._cfg.cloud_profile)
if kubeconfig:
self._cluster_info.set_kube_config(kubeconfig)
def pre_run(self):
if self._csm.is_running():
logger.info(
"Cluster is already installed and running. Please ask your administrator"
)
sys.exit(0)
self._csm.do_install()
self._persist_cluster_state_if_needed()
def post_run(self):
self._csm.done_install()
self._persist_cluster_state_if_needed()
def persist_username_password_locally(self, username, password,
cluster_dns):
# Dump Argo cluster profile
if username and password:
logger.info("Generating Argo cluster profile ...")
argo_config_path = ARGO_CONFIG.format(
fname=self._idobj.get_cluster_name_id())
with open(argo_config_path, "w") as f:
f.write("""
insecure: true
password: {password}
url: https://{dns}
username: {username}
""".format(password=password, dns=cluster_dns, username=username))
if not os.path.exists(ARGO_CONFIG_DEFAULT):
# if user has not yet configured default argo config, symlink a default config to the one just created
os.symlink(os.path.basename(argo_config_path),
ARGO_CONFIG_DEFAULT)
summary = """
Cluster Name: {cluster_name}
Cluster ID: {cluster_id}
Cluster Profile Name: {name_id}
Cluster DNS: {dns}
Initial Username: {username}
Initial Password: {password}
Note if your username and password are empty, your cluster has already been successfully installed before.
In this case, your argo CLI profile is NOT configured, as we only generate initial username and password once,
please contact your administrator for more information to configure your argo CLI profile.
""".format(cluster_name=self._idobj.get_cluster_name(),
cluster_id=self._idobj.get_cluster_id(),
name_id=self._name_id,
dns=cluster_dns,
username=username,
password=password)
logger.info("Cluster information:\n%s%s%s\n", COLOR_GREEN, summary,
COLOR_NORM)
def run(self):
"""
Main install routine
:return:
"""
self._pre_install()
self._ensure_kubernetes_cluster()
if self._cfg.dry_run:
logger.info("DRY RUN: not installing cluster")
return
cluster_dns, username, password = self._ensure_argo_microservices()
self.persist_username_password_locally(username, password, cluster_dns)
def _pre_install(self):
"""
Pre install ensures the following stuff:
- Cluster name/id mapping is created and uploaded
- A local copy of cluster config is generated
- Upload stage0 information to S3
Stage0 is an indication of the fact that at least some part of the cluster could have been created.
This step is idempotent.
:return:
"""
if check_cluster_staging(self._cluster_info, "stage0"):
logger.info("Skip pre install")
return
logger.info("Cluster installation step: Pre Install")
# After buckets are ensured, we persist cluster name id information
# There is no problem of re-uploading we rerun this step
self._idobj.upload_cluster_name_id()
# Generate raw config dict
raw_cluster_config_dict = self._generate_raw_cluster_config_dict()
# Set cluster config object with raw cluster config dict
self._cluster_config.set_config(raw_cluster_config_dict)
# Prepare configuration for kube installer. This call will write
prepare_kube_install_config(name_id=self._name_id,
aws_profile=self._cfg.cloud_profile,
cluster_info=self._cluster_info,
cluster_config=self._cluster_config)
# Save config file to s3, which is also stage0 information
self._cluster_config.save_config()
logger.info(
"Cluster installation step: Pre Install successfully finished")
def _ensure_kubernetes_cluster(self):
"""
This step won't run if there is "--dry-run" specified.
This step assumes pre-install is already finished. This step does the following:
- Config kube-installer
- Call kube-installer to create Kubernetes cluster
- Persist cluster credentials (Kubeconfig file and ssh key) to S3
- Upload finalized cluster config and cluster metadata to S3
- Upload stage1 information to S3
Stage1 is an indication of the fact that there is a kubernetes cluster ready, and we can
create micro-services on it.
This step is NOT necessarily idempotent:
e.g., if you created master but install failed due to cloud provider rate limit, and as a result,
you have not yet created minions, for some reasons you quit your cluster manager container, all
your cluster credentials can be lost.
So if this step fails, the safest way is to uninstall the half installed cluster and start another install
:return:
"""
if check_cluster_staging(self._cluster_info, "stage1"):
logger.info("Skip ensure Kubernetes cluster")
return
logger.info("Cluster installation step: Ensure Kubernetes Cluster")
# Reload config in case stage0 is skipped
self._cluster_config.reload_config()
logger.info("Creating cluster with config: \n\n%s\n",
pformat(self._cluster_config.get_raw_config()))
# if dry-run is specified, this step should be skipped
if self._cfg.dry_run:
return
# Call kube-up
logger.info("\n\n%sCalling kube-up ...%s\n", COLOR_GREEN, COLOR_NORM)
AXKubeUpDown(cluster_name_id=self._name_id,
env=self._cluster_config.get_kube_installer_config(),
aws_profile=self._cfg.cloud_profile).up()
# kube-up will generate cluster metadata. We add information from cluster metadata into cluster config
logger.info("Loading cluster meta into cluster config ...")
with open(CLUSTER_META_DATA_PATH, "r") as f:
data = f.read()
cluster_meta = yaml.load(data)
self._cluster_config.load_cluster_meta(cluster_meta)
# Persist updated cluster config
self._cluster_config.save_config()
# Upload cluster metadata
self._cluster_info.upload_cluster_metadata()
# Finally persist stage1
self._cluster_info.upload_staging_info(stage="stage1", msg="stage1")
logger.info(
"Cluster installation step: Ensure Kubernetes Cluster successfully finished"
)
def install_and_run_platform(self):
logger.info("Starting platform install")
# Install Argo micro-services
# Platform install
platform = AXPlatform(cluster_name_id=self._name_id,
aws_profile=self._cfg.cloud_profile,
manifest_root=self._cfg.manifest_root,
config_file=self._cfg.bootstrap_config)
install_platform_failed = False
install_platform_failure_message = ""
try:
platform.start()
platform.stop_monitor()
except Exception as e:
logger.exception(e)
install_platform_failed = True
install_platform_failure_message = str(
e
) + "\nPlease manually check the cluster status and retry installation with same command if the error is transient."
if install_platform_failed:
raise RuntimeError(install_platform_failure_message)
# In case platform is successfully installed,
# connect to axops to get initial username and password
username, password = self._get_initial_cluster_credentials()
logger.info("Done with platform install")
return platform.cluster_dns_name, username, password
def post_install(self):
# Persist manifests to S3
self._cluster_info.upload_platform_manifests_and_config(
platform_manifest_root=self._cfg.manifest_root,
platform_config=self._cfg.bootstrap_config)
# Finally persist stage2 information
self._cluster_info.upload_staging_info(stage="stage2", msg="stage2")
logger.info(
"Cluster installation step: Ensure Argo Micro-services successfully finished"
)
def _ensure_argo_microservices(self):
"""
This step won't run if there is "--dry-run" specified.
This step assumes there is a running Kubernetes cluster. This step does the following:
- ensure ASG count
- ensure trusted CIDRs
- install Argo software on to the cluster and make sure they are up and running (We don't monitor
if the microservice is having a crash loop)
- Remove manager CIDR if it is not part of user-specified trusted CIDRs
- Upload stage2 information to S3
Stage2 is an indication that the cluster has been successfully installed: Kubernetes is up and running, and
all Argo software are up and running. It does not ensure that non of Argo software should be in crash loop
This step is idempotent
:return: cluster_dns_name, username, password
"""
logger.info("Cluster installation step: Ensure Argo Micro-services")
# Reload config in case stage0 and stage1 are skipped
self._cluster_config.reload_config()
trusted_cidrs = self._cluster_config.get_trusted_cidr()
# Instantiate AXBootstrap object. There are a bunch of stand-alone tasks we need to
# perform using that object.
axbootstrap = AXBootstrap(cluster_name_id=self._name_id,
aws_profile=self._cfg.cloud_profile,
region=self._cluster_config.get_region())
# We allow access from everywhere during installation phase, but will remove this access
# if user does not specify 0.0.0.0/0 as their trusted CIDR
axbootstrap.modify_node_security_groups(old_cidr=[],
new_cidr=trusted_cidrs +
[EC2IPPermission.AllIP],
action_name="allow-creator")
if check_cluster_staging(self._cluster_info, "stage2"):
# TODO: some duplicated logic here, might need to combine them.
logger.info(
"Skip ensure Argo micro-services since cluster has already been successfully installed"
)
platform = AXPlatform(cluster_name_id=self._name_id,
aws_profile=self._cfg.cloud_profile)
if EC2IPPermission.AllIP not in trusted_cidrs:
axbootstrap.modify_node_security_groups(
old_cidr=[EC2IPPermission.AllIP],
new_cidr=[],
action_name="disallow-creator")
return platform.get_cluster_external_dns(), "", ""
# Modify ASG
axsys_node_count = int(self._cluster_config.get_asxys_node_count())
axuser_min_count = int(
self._cluster_config.get_min_node_count()) - axsys_node_count
axuser_max_count = int(
self._cluster_config.get_max_node_count()) - axsys_node_count
axbootstrap.modify_asg(min=axuser_min_count, max=axuser_max_count)
cluster_dns, username, password = self.install_and_run_platform()
self.post_install()
# Remove access from 0.0.0.0/0 if this is not what user specifies
if EC2IPPermission.AllIP not in trusted_cidrs:
axbootstrap.modify_node_security_groups(
old_cidr=[EC2IPPermission.AllIP],
new_cidr=[],
action_name="disallow-creator")
return cluster_dns_name, username, password
@retry(wait_fixed=5, stop_max_attempt_number=10)
def _get_initial_cluster_credentials(self):
"""
This functions connects to axops pod to get cluster's initial credentials
:return: (username, password)
"""
# TODO: a less hacky way of getting initial credentials?
ns_conf = "--namespace axsys --kubeconfig {config}".format(
config=self._cluster_info.get_kube_config_file_path())
cmd = "kubectl " + ns_conf + " exec $(kubectl " + ns_conf + " get pods -l app=axops-deployment | grep axops | awk '{print $1}') /axops/bin/axpassword -c axops"
ret = subprocess.check_output(cmd, shell=True)
username = None
password = None
for line in ret.split("\n"):
if line.startswith("Username"):
# Username line has format "Username: xxxxxxx"
username = line[len("Username: "******"Password"):
# Password line has format "Password: xxxxxx"
password = line[len("Password: "******"Failed to get username and password from axops pod: {}".format(
ret)
return username, password
def _generate_raw_cluster_config_dict(self):
"""
This is a standalone method to generate cluster config dictionary based on install config. We might want to
move it to ax.platform.cluster_config package for sanity
:return:
"""
config_file_name = CLUSTER_CONFIG_TEMPLATES[self._cfg.cluster_size]
config_file_full_path = os.path.join(
*[CLUSTER_CONFIG_ROOT, self._cfg.cluster_type, config_file_name])
with open(config_file_full_path, "r") as f:
config = json.load(f)
if Cloud().target_cloud_aws():
return self._generate_raw_cluster_config_dict_aws(config)
elif Cloud().target_cloud_gcp():
return self._generate_raw_cluster_config_dict_gcp(config)
else:
# Should never come here as aws/gcp is ensured at CLI validation level
return config
def _generate_raw_cluster_config_dict_aws(self, config):
"""
Generate AWS specific cluster config.
:param config:
:return:
"""
# TODO: once we support installing with config file, we only overwrite when item is specifically set through CLI
config["cloud"]["configure"]["region"] = self._cfg.cloud_region
config["cloud"]["configure"]["placement"] = self._cfg.cloud_placement
config["cloud"]["trusted_cidr"] = self._cfg.trusted_cidrs
config["cloud"]["vpc_id"] = self._cfg.vpc_id
# If we install into existing VPC, i.e. vpc_id is not None, or we are going to fetch it
# from cluster metadata after cluster is created.
config["cloud"][
"vpc_cidr_base"] = self._cfg.vpc_cidr_base if not self._cfg.vpc_id else None
config["cloud"]["subnet_size"] = self._cfg.subnet_mask_size
config["cloud"]["configure"][
"sandbox_enabled"] = self._cfg.enable_sandbox
# TODO (#119): might want to remove this filed as this was used for hacks before. Setting it to "dev" for now
config["cloud"]["configure"]["cluster_user"] = "******"
# TODO (#117): Switch all spot related options by literals rather than true/false and some other hacks
# also need to revise the need of specifying a spot price during installation
if self._cfg.spot_instances_option in [
SpotInstanceOption.PARTIAL_SPOT, SpotInstanceOption.ALL_SPOT
]:
spot_instances_enabled = "true"
else:
spot_instances_enabled = "false"
config["cloud"]["configure"][
"spot_instances_enabled"] = spot_instances_enabled
config["cloud"]["configure"][
"spot_instances_option"] = self._cfg.spot_instances_option
config["cloud"]["node_spot_price"] = DEFAULT_NODE_SPOT_PRICE
# Configure master
axsys_node_type = config["cloud"]["configure"]["axsys_node_type"]
axsys_node_max = config["cloud"]["configure"]["axsys_node_count"]
axuser_node_type = config["cloud"]["configure"]["axuser_node_type"]
axuser_node_max = config["cloud"]["configure"][
"max_node_count"] - axsys_node_max
cluster_type = config["cloud"]["configure"]["cluster_type"]
if self._cfg.cluster_size != AXClusterSize.CLUSTER_USER_PROVIDED:
master_config = KubeMasterResourceConfig(
usr_node_type=axuser_node_type,
usr_node_max=axuser_node_max,
ax_node_type=axsys_node_type,
ax_node_max=axsys_node_max,
cluster_type=cluster_type)
if self._cfg.cluster_size == AXClusterSize.CLUSTER_MVC:
# MVC cluster does not follow the heuristics we used to configure master
config["cloud"]["configure"]["master_type"] = "m3.xlarge"
else:
config["cloud"]["configure"][
"master_type"] = master_config.master_instance_type
config["cloud"]["configure"][
"master_config_env"] = master_config.kube_up_env
# TODO (#121) Need to revise the relationship between user_on_demand_nodes and node minimum, system node count
config["cloud"]["configure"][
"axuser_on_demand_nodes"] = self._cfg.user_on_demand_nodes
# Get AMI information
ami_name = self._cfg.software_info.ami_name
ami_id = AMI(aws_profile=self._cfg.cloud_profile,
aws_region=self._cfg.cloud_region).get_ami_id_from_name(
ami_name=ami_name)
config["cloud"]["configure"]["ami_id"] = ami_id
# Other configurations
config["cloud"]["configure"]["autoscaler_scan_interval"] = str(
self._cfg.autoscaling_interval) + "s"
config["cloud"]["configure"]["support_object_store_name"] = str(
self._cfg.support_object_store_name)
return config
def _generate_raw_cluster_config_dict_gcp(self, config):
"""
Generate GCP specific cluster config.
:param config:
:return:
"""
config["cloud"]["trusted_cidr"] = self._cfg.trusted_cidrs
return config
def update_and_save_config(self, cluster_bucket=None):
"""
Update the config to use the given bucket and upload cluster_config and kubeconfig
to the given bucket.
"""
raw_cluster_config_dict = self._generate_raw_cluster_config_dict()
self._cluster_config.set_config(raw_cluster_config_dict)
self._cluster_config.set_cluster_provider(ClusterProvider.USER)
self._cluster_config.set_support_object_store_name(cluster_bucket)
# Save config file to s3.
self._cluster_config.save_config()
self._cluster_info.upload_kube_config()
class AXPlatform(object):
def __new__(cls, *args, **kwargs):
if Cloud().target_cloud_gcp():
from .gke_platform import AXGKEPlatform
return super(AXPlatform, cls).__new__(AXGKEPlatform)
else:
return super(AXPlatform, cls).__new__(cls)
def __init__(
self,
cluster_name_id=None,
aws_profile=None,
debug=True,
manifest_root=AXPlatformConfigDefaults.DefaultManifestRoot,
config_file=AXPlatformConfigDefaults.DefaultPlatformConfigFile,
software_info=None):
"""
AX Platform bootstrap
:param cluster_name_id: cluster name id
:param aws_profile: aws profile to authenticate all aws clients
:param debug: debug mode
:param manifest_root: root directory to all ax service objects
"""
self._software_info = software_info if software_info else SoftwareInfo(
)
assert isinstance(
self._software_info, SoftwareInfo
), "Wrong type ({}) of software info passed in.".format(
self._software_info)
self._aws_profile = aws_profile
self._manifest_root = manifest_root
self._config = AXPlatformConfig(config_file)
logger.info("Using Kubernetes manifest from %s", self._manifest_root)
logger.info("Using platform configuration \"%s\" from %s",
self._config.name, config_file)
self._cluster_name_id = AXClusterId(
cluster_name_id).get_cluster_name_id()
self._cluster_config = AXClusterConfig(
cluster_name_id=self._cluster_name_id,
aws_profile=self._aws_profile)
self._cluster_config_path = AXClusterConfigPath(cluster_name_id)
self._cluster_info = AXClusterInfo(self._cluster_name_id,
aws_profile=self._aws_profile)
self._region = self._cluster_config.get_region()
if Cloud().target_cloud_aws():
self._account = AWSAccountInfo(
aws_profile=self._aws_profile).get_account_id()
else:
self._account = ""
self._bucket_name = self._cluster_config_path.bucket()
self._bucket = Cloud().get_bucket(self._bucket_name,
aws_profile=self._aws_profile,
region=self._region)
# In debug mode, when we failed to create an object, we don't delete it but just
# leave it for debug.
self._debug = debug
# DNS
self.cluster_dns_name = None
# Get kube cluster config. Automatic if in pod already.
self._kube_config = self._cluster_info.get_kube_config_file_path(
) if self._cluster_name_id else None
if self._cluster_name_id:
if not os.path.isfile(self._kube_config):
logger.info(
"Can't find config file at %s; downloading from s3",
self._kube_config)
self._kube_config = self._cluster_info.download_kube_config()
assert os.path.isfile(
self._kube_config), "No kube_config file available"
# Kubernetes related objects and macros
self.kube_namespaces = [AXNameSpaces.AXSYS, AXNameSpaces.AXUSER]
self.kube_axsys_namespace = AXNameSpaces.AXSYS
self.kube_user_namespace = AXNameSpaces.AXUSER
self.kubectl = KubernetesApiClient(config_file=self._kube_config)
self.kube_poll = KubeObjPoll(kubectl=self.kubectl)
self._monitor = AXKubeMonitor(kubectl=self.kubectl)
self._monitor.reload_monitors(namespace=self.kube_axsys_namespace)
self._monitor.start()
# Kube Objects
self._kube_objects = {}
self._replacing = {}
def _load_kube_objects_from_steps(self, steps):
"""
Extract kube objects from steps in config, and load them into memory
:param steps: list
:return:
"""
for object_group in steps:
assert isinstance(object_group, AXPlatformObjectGroup)
for obj in object_group.object_set:
assert isinstance(obj, AXPlatformObject)
name = obj.name
filename = obj.manifest
namespace = obj.namespace
if name in self._kube_objects:
raise ValueError("Duplicated object name {}".format(name))
kubeobj_conf_path = os.path.join(self._manifest_root, filename)
self._kube_objects[name] = KubeObject(
config_file=kubeobj_conf_path,
kubepoll=self.kube_poll,
replacing=None,
kube_config=self._kube_config,
kube_namespace=namespace)
def _generate_replacing(self):
# Platform code are running in python 2.7, and therefore for trusted cidr list, the str() method
# will return something like [u'54.149.149.230/32', u'73.70.250.25/32', u'104.10.248.90/32'], and
# this 'u' prefix cannot be surpressed. With this prefix, our macro replacing would create invalid
# yaml files, and therefore we construct string manually here
trusted_cidr = self._cluster_config.get_trusted_cidr()
if isinstance(trusted_cidr, list):
trusted_cidr_str = "["
for cidr in trusted_cidr:
trusted_cidr_str += "\"{}\",".format(str(cidr))
trusted_cidr_str = trusted_cidr_str[:-1]
trusted_cidr_str += "]"
else:
trusted_cidr_str = "[{}]".format(trusted_cidr)
axsys_cpu = 0
axsys_mem = 0
daemon_cpu = 0
daemon_mem = 0
for name in self._kube_objects.keys():
cpu, mem, dcpu, dmem = self._kube_objects[name].resource_usage
axsys_cpu += cpu
axsys_mem += mem
daemon_cpu += dcpu
daemon_mem += dmem
# kube-proxy (100m CPU and 100Mi memory. Note kube-proxy does not
# have a memory request, but this is an approximation)
daemon_cpu += 100
daemon_mem += 100
logger.info(
"Resource Usages: axsys_cpu: %s milicores, axsys_mem: %s Mi, node_daemon_cpu: %s milicores, node_daemon_mem: %s Mi",
axsys_cpu, axsys_mem, daemon_cpu, daemon_mem)
axsys_node_count = int(self._cluster_config.get_asxys_node_count())
axuser_min_count = str(
int(self._cluster_config.get_min_node_count()) - axsys_node_count)
axuser_max_count = str(
int(self._cluster_config.get_max_node_count()) - axsys_node_count)
autoscaler_scan_interval = str(
self._cluster_config.get_autoscaler_scan_interval())
usr_node_cpu_rsvp = float(daemon_cpu) / EC2_PARAMS[
self._cluster_config.get_axuser_node_type()]["cpu"]
usr_node_mem_rsvp = float(daemon_mem) / EC2_PARAMS[
self._cluster_config.get_axuser_node_type()]["memory"]
scale_down_util_thresh = round(
max(usr_node_cpu_rsvp, usr_node_mem_rsvp), 3) + 0.001
logger.info("Setting node scale down utilization threshold to %s",
scale_down_util_thresh)
self._persist_node_resource_rsvp(daemon_cpu, daemon_mem)
with open("/kubernetes/cluster/version.txt", "r") as f:
cluster_install_version = f.read().strip()
# Prepare autoscaler
asg_manager = AXUserASGManager(self._cluster_name_id, self._region,
self._aws_profile)
asg = asg_manager.get_variable_asg() or asg_manager.get_spot_asg(
) or asg_manager.get_on_demand_asg()
if not asg:
raise AXPlatformException(
"Failed to get autoscaling group for cluster {}".format(
self._cluster_name_id))
asg_name = asg["AutoScalingGroupName"]
if not asg_name:
logger.error("Autoscaling group name not found for %s",
self._cluster_name_id)
raise AXPlatformException("Cannot find cluster autoscaling group")
# Prepare minion-manager.
spot_instances_option = self._cluster_config.get_spot_instances_option(
)
minion_manager_asgs = ""
if spot_instances_option == SpotInstanceOption.ALL_SPOT:
for asg in asg_manager.get_all_asgs():
minion_manager_asgs = minion_manager_asgs + asg[
"AutoScalingGroupName"] + " "
minion_manager_asgs = minion_manager_asgs[:-1]
elif spot_instances_option == SpotInstanceOption.PARTIAL_SPOT:
minion_manager_asgs = asg_manager.get_variable_asg(
)["AutoScalingGroupName"]
return {
"REGISTRY":
self._software_info.registry,
"REGISTRY_SECRETS":
self._software_info.registry_secrets,
"NAMESPACE":
self._software_info.image_namespace,
"VERSION":
self._software_info.image_version,
"AX_CLUSTER_NAME_ID":
self._cluster_name_id,
"AX_AWS_REGION":
self._region,
"AX_AWS_ACCOUNT":
self._account,
"AX_CUSTOMER_ID":
AXCustomerId().get_customer_id(),
"TRUSTED_CIDR":
trusted_cidr_str,
"NEW_KUBE_SALT_SHA1":
os.getenv("NEW_KUBE_SALT_SHA1") or " ",
"NEW_KUBE_SERVER_SHA1":
os.getenv("NEW_KUBE_SERVER_SHA1") or " ",
"AX_KUBE_VERSION":
os.getenv("AX_KUBE_VERSION"),
"AX_CLUSTER_INSTALL_VERSION":
cluster_install_version,
"SANDBOX_ENABLED":
str(self._cluster_config.get_sandbox_flag()),
"ARGO_LOG_BUCKET_NAME":
self._cluster_config.get_support_object_store_name(),
"ASG_MIN":
axuser_min_count,
"ASG_MAX":
axuser_max_count,
"AUTOSCALER_SCAN_INTERVAL":
autoscaler_scan_interval,
"SCALE_DOWN_UTIL_THRESH":
str(scale_down_util_thresh),
"AX_CLUSTER_META_URL_V1":
self._bucket.get_object_url_from_key(
key=self._cluster_config_path.cluster_metadata()),
"ASG_NAME":
asg_name,
"DNS_SERVER_IP":
os.getenv("DNS_SERVER_IP", default_kube_up_env["DNS_SERVER_IP"]),
"AX_ENABLE_SPOT_INSTANCES":
str(spot_instances_option != SpotInstanceOption.NO_SPOT),
"AX_SPOT_INSTANCE_ASGS":
minion_manager_asgs,
}
def _persist_node_resource_rsvp(self, user_node_daemon_cpu,
user_node_daemon_mem):
self._cluster_config.set_user_node_resource_rsvp(
cpu=user_node_daemon_cpu, mem=user_node_daemon_mem)
self._cluster_config.save_config()
def start(self):
"""
Bring up platform using "platform-start.cfg" configuration from manifest directory
:return:
"""
# Generate kube-objects
steps = self._config.steps
self._load_kube_objects_from_steps(steps)
self._replacing = self._generate_replacing()
# TODO: remove component's dependencies to AXOPS_EXT_DNS env (#32)
# At this moment, we MUST separate first step due to the above dependency
assert len(steps) >= 2, "Should have at least 1 step to create axops"
self.create_objects(steps[0])
self.create_objects(steps[1])
self.create_objects(steps[2])
# Prepare axops_eip
self._set_ext_dns()
logger.debug("Replacing ENVs: %s", self._replacing)
info_bound = "=======================================================\n"
img_namespace = "Image Namespace: {}\n".format(
self._software_info.image_namespace)
img_version = "Image Version: {}\n".format(
self._software_info.image_version)
start_info = "\n\n{}{}{}{}{}".format(
info_bound, "Platform Up: Bringing up Argo services...\n",
img_namespace, img_version, info_bound)
logger.info(start_info)
# Start rest of the objects
for i in range(3, len(steps)):
self.create_objects(steps[i])
# update application namespace
logger.info("Updating application managers")
for app in Applications(client=self.kubectl).list():
logger.info("--- updating {}".format(app))
a = Application(app, client=self.kubectl)
a.create(force_recreate=True)
logger.info("Done updating application managers")
# Upload version information to target cluster
self._update_version()
logger.info("\n\n%sCluster %s is up. Cluster is available at %s%s\n",
COLOR_GREEN, self._cluster_name_id, self.cluster_dns_name,
COLOR_NORM)
def stop(self):
"""
Bring down platform using "platform-stop.cfg" configuration from manifest directory
:return:
"""
# Generate kube-objects (Does not need to generate replacing during platform down)
# Stop order should be the reverse of start
steps = self._config.steps
steps.reverse()
self._load_kube_objects_from_steps(steps)
info_bound = "=======================================================\n"
stop_info = "\n\n{}{}{}".format(
info_bound, "Platform Down: Shutting down Argo services...\n",
info_bound)
logger.info(stop_info)
# Bring down objects according to steps
for i in range(len(steps)):
object_group = steps[i]
self.delete_objects(object_group)
def stop_monitor(self):
self._monitor.stop()
def create_objects(self, objects):
"""
Start kubernetes objects based on records.
Wait for all of them.
:param objects: AXPlatformObjectGroup
"""
assert isinstance(objects, AXPlatformObjectGroup)
if not self._should_create_group(
policy=objects.policy,
policy_predicate=objects.policy_predicate,
consistency=objects.consistency):
logger.debug(
"Skipping object group (%s) creation based on policy (%s), policy predicate (%s), consistency (%s)",
objects.name, objects.policy, objects.policy_predicate,
objects.consistency)
return
logger.info("Create step: %s", objects.name)
logger.info("Creating platform objects\n\n%s",
self._generate_object_summary(objects.object_set))
pool = ThreadPool(len(objects.object_set))
async_results = {}
for obj in objects.object_set:
assert isinstance(obj, AXPlatformObject)
name = obj.name
namespace = obj.namespace
async_results[name] = pool.apply_async(
self.start_one, args=(name, ), kwds={"namespace": namespace})
pool.close()
pool.join()
report, failed = self._generate_report(async_results, "Create")
logger.info(report)
if failed:
raise AXPlatformException("Failed to create platform objects.")
def _should_create_group(self, policy, policy_predicate, consistency):
"""
Take AXPlatformObjectGroup policy, predicate and consistency and determine
if this group should be created or not
:param policy:
:param policy_predicate:
:param consistency:
:return:
"""
# Since we are not using consistency, we should always create if not
# explicitly told not to, i.e. if there is a PrivateRegistryOnly
# We are just leaving the interface here that should create or not
# need to be decided by policy, policy_predicate and consistency
if policy_predicate == ObjectGroupPolicyPredicate.PrivateRegistryOnly and \
not self._software_info.registry_is_private():
return False
return True
def delete_objects(self, objects):
"""
Stop kubernetes objects based on records.
Wait for all of them.
:param objects: AXPlatformObjectGroup
"""
assert isinstance(objects, AXPlatformObjectGroup)
if not self._should_delete_group(
policy=objects.policy,
policy_predicate=objects.policy_predicate):
logger.debug(
"Skipping object group (%s) deletion based on policy (%s), policy predicate (%s)",
objects.name, objects.policy, objects.policy_predicate)
return
logger.info("Delete step: %s", objects.name)
logger.info("Deleting platform objects\n\n%s.",
self._generate_object_summary(objects.object_set))
pool = ThreadPool(len(objects.object_set))
async_results = {}
for obj in objects.object_set:
assert isinstance(obj, AXPlatformObject)
name = obj.name
namespace = obj.namespace
async_results[name] = pool.apply_async(
self.stop_one, args=(name, ), kwds={"namespace": namespace})
pool.close()
pool.join()
report, failed = self._generate_report(async_results, "Delete")
logger.info(report)
if failed:
raise AXPlatformException("Failed to create platform objects.")
def _should_delete_group(self, policy, policy_predicate):
"""
Take AXPlatformObjectGroup policy and determine if this group should be deleted or not.
Consistency is not needed
for deletion
:param policy:
:param policy_predicate:
:return:
"""
if policy == ObjectGroupPolicy.CreateMany:
return True
return False
def start_one(self, name, namespace=AXNameSpaces.AXSYS):
time.sleep(
random.randint(0, AXPlatformConfigDefaults.ObjectOperationJitter))
logger.info("Creating %s in namespace %s ...", name, namespace)
start = time.time()
kube_obj = self._kube_objects[name]
# Update them as there are new updates in replacing in platform start
kube_obj.namespace = namespace
kube_obj.replacing = self._replacing
assert isinstance(kube_obj, KubeObject)
result = {
"name": name,
"code": [],
"events": [],
"failed": False,
"duration": ""
}
if kube_obj.healthy():
result["code"] += [
"{:.25s}:{}".format(name, KubeObjStatusCode.OBJ_EXISTS)
]
result["duration"] = str(round(time.time() - start, 2))
return result
# Previous platform start might fail, and might result in some componenets created
# but not healthy (i.e. in CrashLoopBackoff). In this case, we delete the existing
# object and try to create a new one
if kube_obj.exists():
logger.warning(
"Object %s exists but not healthy. Deleting object for idempotency ...",
name)
self.stop_one(name, namespace)
assert not kube_obj.exists(
), "Kubeobject {} already created but is not healthy. Not Expected".format(
name)
monitor_info = kube_obj.get_create_monitor_info()
if monitor_info:
# use monitor
waiters = []
# Create and register waiters for all objects that can be monitored
for m in monitor_info:
wait_info = {
"kind": KubeKindToKubeApiObjKind[m.kube_kind],
"name": m.name,
"validator": m.validator
}
waiter = KubeObjWaiter()
waiters.append((waiter, wait_info))
AXKubeMonitor().wait_for_kube_object(
wait_info, AXPlatformConfigDefaults.ObjCreateWaitTimeout,
waiter)
# Call kubectl create
kube_obj.create()
# Wait on all waiters to retrieve status and events
for waiter, wait_info in waiters:
waiter.wait()
result["events"] += waiter.details
result["code"].append("{:.25s}:{}".format(
wait_info["name"], waiter.result))
if waiter.result == KubeObjStatusCode.OK or waiter.result == KubeObjStatusCode.WARN:
logger.info("Successfully created %s with code %s.",
wait_info["name"], waiter.result)
else:
result["failed"] = True
logger.error(
"Failed to create %s in %s with code %s. Events: %s",
wait_info["name"], namespace, waiter.result,
str(waiter.details))
if not self._debug:
logger.info("Deleting %s due to creation failure",
name)
del_rst = self.stop_one(name, namespace)
result["code"] += del_rst["code"]
result["events"] += del_rst["events"]
result["duration"] = str(round(time.time() - start, 2))
return result
# Poll extra if required (for Petset and Deployments with multiple replicas)
if kube_obj.extra_poll:
logger.info(
"Polling till healthy to make sure rest of components of %s are up and running ...",
name)
create_rst = self._poll_till_healthy(
name=name,
kube_obj=kube_obj,
start_time=start,
poll_interval=AXPlatformConfigDefaults.
ObjCreateExtraPollInterval,
poll_max_retry=AXPlatformConfigDefaults.
ObjCreateExtraPollMaxRetry,
rst=result)
if create_rst["failed"] and not self._debug:
logger.info("Deleting %s due to creation failure", name)
del_rst = self.stop_one(name, namespace)
create_rst["code"] += del_rst["code"]
create_rst["events"] += del_rst["events"]
create_rst["duration"] = str(round(time.time() - start, 2))
return create_rst
# Poll once to confirm all components from this Kubernetes config file exist,
# In case there are objects in this config file cannot be monitored, i.e. svc
# without elb. This is really not expected so we don't delete it
if not kube_obj.healthy():
logger.error(
"Object %s created but is not healthy. This is NOT EXPECTED, please check manually.",
name)
result["code"].append("{:.25s}:{}".format(
name, KubeObjStatusCode.UNHEALTHY))
result["failed"] = True
result["events"].append(
"Object {} created byt is not healthy".format(name))
result["duration"] = str(round(time.time() - start, 2))
if not result["failed"]:
logger.info("Successfully created object %s.", name)
return result
else:
# use polling
kube_obj.create()
create_rst = self._poll_till_healthy(
name=name,
kube_obj=kube_obj,
start_time=start,
poll_interval=AXPlatformConfigDefaults.ObjCreatePollInterval,
poll_max_retry=AXPlatformConfigDefaults.ObjCreatePollMaxRetry,
rst=result)
if create_rst["failed"] and not self._debug:
logger.info("Deleting %s due to creation failure", name)
del_rst = self.stop_one(name, namespace)
create_rst["code"] += del_rst["code"]
create_rst["events"] += del_rst["events"]
create_rst["duration"] = str(round(time.time() - start, 2))
return create_rst
@staticmethod
def _poll_till_healthy(name, kube_obj, start_time, poll_interval,
poll_max_retry, rst):
trail = 0
assert isinstance(kube_obj, KubeObject)
while True:
if not kube_obj.healthy():
trail += 1
if trail > poll_max_retry:
logger.error("Failed to create KubeObject %s", name)
rst["code"] += [
"{:.25s}:{}".format(name, KubeObjStatusCode.UNHEALTHY)
]
rst["events"] += [
"Object {} creation timeout. Not healthy".format(name)
]
rst["failed"] = True
rst["duration"] = str(round(time.time() - start_time, 2))
return rst
else:
logger.info("Successfully created %s.", name)
rst["code"] += [
"{:.25s}:{}".format(name, KubeObjStatusCode.OK)
]
rst["failed"] = False
rst["duration"] = str(round(time.time() - start_time, 2))
return rst
time.sleep(poll_interval)
def stop_one(self, name, namespace=AXNameSpaces.AXSYS):
time.sleep(
random.randint(0, AXPlatformConfigDefaults.ObjectOperationJitter))
logger.info("Deleting %s in namespace %s ...", name, namespace)
start = time.time()
kube_obj = self._kube_objects[name]
kube_obj.namespace = namespace
kube_obj.replacing = self._replacing
assert isinstance(kube_obj, KubeObject)
result = {
"name": name,
"code": [],
"events": [],
"failed": False,
"duration": ""
}
# Don't delete if object does not exist
if not kube_obj.exists():
result["code"] += [
"{:.25s}:{}".format(name, KubeObjStatusCode.DELETED)
]
result["duration"] = str(round(time.time() - start, 2))
return result
monitor_info = kube_obj.get_delete_monitor_info()
if monitor_info:
# use monitor
waiters = []
# Create and register waiters for all objects that can be monitored
for m in monitor_info:
wait_info = {
"kind": KubeKindToKubeApiObjKind[m.kube_kind],
"name": m.name,
"validator": m.validator
}
waiter = KubeObjWaiter()
waiters.append((waiter, wait_info))
AXKubeMonitor().wait_for_kube_object(
wait_info, AXPlatformConfigDefaults.ObjDeleteWaitTimeout,
waiter)
# Call kubectl delete
kube_obj.delete()
# Wait on all waiters to retrieve status and events
for waiter, wait_info in waiters:
waiter.wait()
result["events"] += waiter.details
if waiter.result == KubeObjStatusCode.OK or waiter.result == KubeObjStatusCode.WARN:
result["code"].append("{:.25s}:{}".format(
wait_info["name"], KubeObjStatusCode.DELETED))
logger.info("Successfully deleted %s in %s with code %s.",
wait_info["name"], name, result["code"])
else:
result["failed"] = True
result["code"].append("{:.25s}:{}".format(
wait_info["name"], KubeObjStatusCode.UNKNOWN))
logger.error(
"Failed to delete %s in %s with code %s. Events: %s",
wait_info["name"], name, result["code"],
str(waiter.details))
# Poll once to confirm all components from this Kubenetes config file exist
# In case there are objects in this config file cannot be monitored, i.e. svc without elb
if kube_obj.exists():
logger.error("Object %s deleted but still exists", name)
result["failed"] = True
result["code"].append("{:.25s}:{}".format(
name, KubeObjStatusCode.UNKNOWN))
result["events"].append(
"Object {} deleted but still exists.".format(name))
result["duration"] = str(round(time.time() - start, 2))
logger.info("Successfully deleted %s.", name)
return result
else:
# use polling
kube_obj.delete()
return self._poll_till_not_exists(
name=name,
kube_obj=kube_obj,
start_time=start,
poll_interval=AXPlatformConfigDefaults.ObjDeletePollInterval,
poll_max_retry=AXPlatformConfigDefaults.ObjDeletePollMaxRetry,
rst=result)
@staticmethod
def _poll_till_not_exists(name, kube_obj, start_time, poll_interval,
poll_max_retry, rst):
trail = 0
assert isinstance(kube_obj, KubeObject)
while True:
if kube_obj.exists():
trail += 1
if trail > poll_max_retry:
logger.error("Failed to delete KubeObject %s", name)
rst["code"] += [
"{:.25s}:{}".format(name, KubeObjStatusCode.UNKNOWN)
]
rst["events"] += [
"Object {} deletion timeout. Please manually check remaining pods"
.format(name)
]
rst["failed"] = True
rst["duration"] = str(round(time.time() - start_time, 2))
return rst
else:
logger.info("Successfully deleted %s.", name)
rst["code"] += [
"{:.25s}:{}".format(name, KubeObjStatusCode.DELETED)
]
rst["failed"] = False
rst["duration"] = str(round(time.time() - start_time, 2))
return rst
time.sleep(poll_interval)
def _generate_object_summary(self, objects):
"""
:param objects: list of AXPlatformObject
:return:
"""
report_title = "\n{:25s} | {:110s} | {:20s}\n".format(
"NAME", "MANIFEST", "NAMESPACE")
report_bar = "{}\n".format("-" * 174)
content = ""
for obj in objects:
assert isinstance(obj, AXPlatformObject)
name = obj.name
filename = os.path.join(self._manifest_root, obj.manifest)
namespace = obj.namespace
content += "{:25s} | {:110s} | {:20s}\n".format(
name, filename, namespace)
return report_title + report_bar + content
@staticmethod
def _generate_report(results, operation):
failed = False
report_body = ""
warnings = "\n======= WARNING EVENTS =======\n"
for name in results.keys():
individual_report = "{:25s} | {:110s} | {:20s}\n"
individual_warning = "{name}: {events}\n\n"
try:
result = results[name].get()
if result["failed"]:
failed = True
code = result["code"][0]
for c in result["code"][1:]:
code += " / {}".format(c)
individual_report = individual_report.format(
name, code, result["duration"], 2)
if len(result["events"]) > 0:
warnings += individual_warning.format(
name=name, events=str(result["events"]))
except Exception as e:
failed = True
logger.exception(str(e))
individual_report = individual_report.format(
name, "EXCEPTION", "UNKNOWN")
warnings += individual_warning.format(name=name, events=str(e))
report_body += individual_report
report_head = "\n\nPlatform {} {}. Report:\n".format(
operation, "FAILED" if failed else "SUCCESSFULLY")
report_title = "\n{:25s} | {:110s} | {:20s}\n".format(
"NAME", "STATUS", "TIME (sec)")
report_bar = "{}\n".format("-" * 174)
return "{}{}{}{}{}{}".format(
report_head, report_title, report_bar, report_body, warnings,
"==============================\n"), failed
def _get_eip_from_config_map(self):
try:
cmd = [
"kubectl", "get", "configmap", "cluster-dns-name", "-o",
"yaml", "--namespace", self.kube_axsys_namespace,
"--kubeconfig", self._kube_config
]
out = subprocess.check_output(cmd)
return [yaml.load(out)["data"]["cluster-external-dns-name"]]
except Exception:
logger.error("Failed to get cluster dns name from config map.")
return None
def _get_svc_eip(self, svclabel, namespace):
svc = self.kube_poll.poll_kubernetes_sync(KubeKind.SERVICE, namespace,
svclabel)
assert len(
svc.items) == 1, "Currently services should only have one ingress"
rst = []
for ig in svc.items[0].status.load_balancer.ingress:
if ig.hostname:
rst.append(ig.hostname)
if ig.ip:
rst.append(ig.ip)
return rst
def _set_ext_dns(self):
axops_eip = self._get_eip_from_config_map() or self._get_svc_eip(
svclabel="app=axops", namespace=AXNameSpaces.AXSYS)
if not axops_eip:
logger.error(
"Platform Start Failed: cannot find External IP for AXOPS")
raise AXPlatformException("AXOPS elastic IP does not exist")
self.cluster_dns_name = axops_eip[0]
# Don't change format of this message. Portal parses this line to get cluster IP/DNS.
logger.info(
"\n\n%s>>>>> Starting Argo platform... cluster DNS: %s%s\n",
COLOR_GREEN, self.cluster_dns_name, COLOR_NORM)
self._replacing["AXOPS_EXT_DNS"] = self.cluster_dns_name
def get_cluster_external_dns(self):
if not self.cluster_dns_name:
self._set_ext_dns()
return self.cluster_dns_name
def _set_autoscaling(self):
# Prepare autoscaler
asg_manager = AXUserASGManager(self._cluster_name_id, self._region,
self._aws_profile)
asg = asg_manager.get_variable_asg() or asg_manager.get_spot_asg(
) or asg_manager.get_on_demand_asg()
if not asg:
raise AXPlatformException(
"Failed to get autoscaling group for cluster {}".format(
self._cluster_name_id))
asg_name = asg["AutoScalingGroupName"]
if asg_name is not None:
self._replacing["ASG_NAME"] = asg_name
else:
logger.error("Autoscaling group name not found for %s",
self._cluster_name_id)
raise AXPlatformException("Cannot find cluster autoscaling group")
# TODO (#157) Version should only be uploaded during install and upgrade time
def _update_version(self):
# Software info we get during install / upgrade does not contain ami id
# need to persist it as well
self._software_info.ami_id = self._cluster_config.get_ami_id()
AXVersion(AXCustomerId().get_customer_id(), self._cluster_name_id,
self._aws_profile).update(self._software_info.to_dict())
class AXSYSKubeYamlUpdater(object):
"""
This class loads a kubernetes yaml file, updates resource,
and generate objects that kube_object.py can consume
"""
def __init__(self, config_file_path):
assert os.path.isfile(
config_file_path), "Config file {} is not a file".format(
config_file_path)
self._config_file = config_file_path
self._cluster_name_id = AXClusterId().get_cluster_name_id()
self._cluster_config = AXClusterConfig(
cluster_name_id=self._cluster_name_id)
self.cpu_mult, self.mem_mult, self.disk_mult, \
self.daemon_cpu_mult, self.daemon_mem_mult = self._get_resource_multipliers()
self._swagger_components = []
self._yaml_components = []
self._updated_raw = ""
# TODO: when we support config software info using a config file, need to figure out how that
# file gets passed through, since SoftwareInfo is not a singleton
self._software_info = SoftwareInfo()
self._load_objects()
self._load_raw()
@property
def updated_raw(self):
return self._updated_raw
@property
def components_in_dict(self):
return self._yaml_components
@property
def components_in_swagger(self):
return self._swagger_components
def _load_objects(self):
with open(self._config_file, "r") as f:
data = f.read()
for c in yaml.load_all(data):
swagger_obj = self._config_yaml(c)
yaml_obj = ApiClient().sanitize_for_serialization(swagger_obj)
self._swagger_components.append(swagger_obj)
self._yaml_components.append(yaml_obj)
def _load_raw(self):
self._updated_raw = yaml.dump_all(self._yaml_components)
def _get_resource_multipliers(self):
"""
Resources in yaml templates need to be multiplied with these numbers
:return: cpu_multiplier, mem_multiplier, disk_multiplier
"""
# Getting cluster size from cluster config, in order to configure resources
# There are 3 situations we will be using AXClusterConfig
# - During install, since the class is a singleton, it has all the values we need
# no need to download from s3
# - During upgrade, since we are exporting AWS_DEFAULT_PROFILE, we can download
# cluster config files from s3 to get the values
# - During job creation: the node axmon runs has the proper roles to access s3
try:
ax_node_max = int(self._cluster_config.get_asxys_node_count())
ax_node_type = self._cluster_config.get_axsys_node_type()
usr_node_max = int(
self._cluster_config.get_max_node_count()) - ax_node_max
usr_node_type = self._cluster_config.get_axuser_node_type()
assert all(
[ax_node_max, ax_node_type, usr_node_max, usr_node_type])
except Exception as e:
logger.error(
"Unable to read cluster config, skip resource config for %s. Error %s",
self._config_file, e)
return 1, 1, 1, 1, 1
rc = AXSYSResourceConfig(
ax_node_type=ax_node_type,
ax_node_max=ax_node_max,
usr_node_type=usr_node_type,
usr_node_max=usr_node_max,
cluster_type=self._cluster_config.get_ax_cluster_type())
#logger.info("With %s %s axsys nodes, %s %s axuser nodes, component %s uses multipliers (%s, %s, %s, %s, %s)",
# ax_node_max, ax_node_type, usr_node_max, usr_node_type, self._config_file,
# rc.cpu_multiplier, rc.mem_multiplier, rc.disk_multiplier,
# rc.daemon_cpu_multiplier, rc.daemon_mem_multiplier)
return rc.cpu_multiplier, rc.mem_multiplier, rc.disk_multiplier, rc.daemon_cpu_multiplier, rc.daemon_mem_multiplier
def _config_yaml(self, kube_yaml_obj):
"""
Load dict into swagger object, patch resource,
sanitize, return a dict
:param kube_yaml_obj:
:return: swagger object with resource values finalized
"""
kube_kind = kube_yaml_obj["kind"]
(swagger_class_literal,
swagger_instance) = KubeKindToV1KubeSwaggerObject[kube_kind]
swagger_obj = ApiClient()._ApiClient__deserialize(
kube_yaml_obj, swagger_class_literal)
assert isinstance(swagger_obj, swagger_instance), \
"{} has instance {}, expected {}".format(swagger_obj, type(swagger_obj), swagger_instance)
if isinstance(swagger_obj, V1beta1Deployment):
if not self._software_info.registry_is_private():
swagger_obj.spec.template.spec.image_pull_secrets = None
node_selector = swagger_obj.spec.template.spec.node_selector
if node_selector.get('ax.tier', 'applatix') == 'master':
# Skip updating containers on master.
logger.info(
"Skip updating cpu, mem multipliers for pods on master: %s",
swagger_obj.metadata.name)
else:
for container in swagger_obj.spec.template.spec.containers:
self._update_container(container)
return swagger_obj
elif isinstance(swagger_obj, V1Pod):
if not self._software_info.registry_is_private():
swagger_obj.spec.image_pull_secrets = None
return swagger_obj
elif isinstance(swagger_obj, V1beta1DaemonSet):
if not self._software_info.registry_is_private():
swagger_obj.spec.template.spec.image_pull_secrets = None
for container in swagger_obj.spec.template.spec.containers:
# We are special-casing applet DaemonSet to compromise the fact that
# we are using different node type for compute-intense nodes
if swagger_obj.metadata.name == "applet":
self._update_container(container=container,
is_daemon=True,
update_resource=True)
else:
self._update_container(container=container,
is_daemon=True,
update_resource=False)
return swagger_obj
elif isinstance(swagger_obj, V1beta1StatefulSet):
if not self._software_info.registry_is_private():
swagger_obj.spec.template.spec.image_pull_secrets = None
return self._update_statefulset(swagger_obj)
elif isinstance(swagger_obj, V1PersistentVolumeClaim):
self._update_volume(swagger_obj)
return swagger_obj
else:
# logger.info("Object %s does not need to configure resource", type(swagger_obj))
# HACK, as the original hook will be messed up
if isinstance(swagger_obj, V1Service):
if swagger_obj.metadata.name == "axops":
swagger_obj.spec.load_balancer_source_ranges = []
for cidr in self._cluster_config.get_trusted_cidr():
# Seems swagger client does not support unicode ... SIGH
swagger_obj.spec.load_balancer_source_ranges.append(
str(cidr))
# HACK #2: if we don't do this, kubectl will complain about something such as
#
# spec.ports[0].targetPort: Invalid value: "81": must contain at least one letter (a-z)
#
# p.target_port is defined as string though, but if its really a string, kubectl
# is looking for a port name, rather than a number
# SIGH ...
for p in swagger_obj.spec.ports or []:
try:
p.target_port = int(p.target_port)
except (ValueError, TypeError):
pass
return swagger_obj
def _update_deployment_or_daemonset(self, kube_obj):
assert isinstance(kube_obj, V1beta1Deployment) or isinstance(
kube_obj, V1beta1DaemonSet)
for container in kube_obj.spec.template.spec.containers:
self._update_container(container)
return kube_obj
def _update_statefulset(self, kube_obj):
assert isinstance(kube_obj, V1beta1StatefulSet)
for container in kube_obj.spec.template.spec.containers:
self._update_container(container)
if isinstance(kube_obj.spec.volume_claim_templates, list):
for vol in kube_obj.spec.volume_claim_templates:
self._update_volume(vol)
return kube_obj
def _update_container(self,
container,
is_daemon=False,
update_resource=True):
assert isinstance(container, V1Container)
if update_resource:
cpulim = container.resources.limits.get("cpu")
memlim = container.resources.limits.get("memory")
cpureq = container.resources.requests.get("cpu")
memreq = container.resources.requests.get("memory")
def _massage_cpu(orig):
return orig * self.daemon_cpu_mult if is_daemon else orig * self.cpu_mult
def _massage_mem(orig):
return orig * self.daemon_mem_mult if is_daemon else orig * self.mem_mult
if cpulim:
rvc = ResourceValueConverter(value=cpulim, target="cpu")
rvc.massage(_massage_cpu)
container.resources.limits["cpu"] = "{}m".format(
rvc.convert("m"))
if cpureq:
rvc = ResourceValueConverter(value=cpureq, target="cpu")
rvc.massage(_massage_cpu)
container.resources.requests["cpu"] = "{}m".format(
rvc.convert("m"))
if memlim:
rvc = ResourceValueConverter(value=memlim, target="memory")
rvc.massage(_massage_mem)
container.resources.limits["memory"] = "{}Mi".format(
int(rvc.convert("Mi")))
if memreq:
rvc = ResourceValueConverter(value=memreq, target="memory")
rvc.massage(_massage_mem)
container.resources.requests["memory"] = "{}Mi".format(
int(rvc.convert("Mi")))
if container.liveness_probe and container.liveness_probe.http_get:
try:
container.liveness_probe.http_get.port = int(
container.liveness_probe.http_get.port)
except (ValueError, TypeError):
pass
if container.readiness_probe and container.readiness_probe.http_get:
try:
container.readiness_probe.http_get.port = int(
container.readiness_probe.http_get.port)
except (ValueError, TypeError):
pass
# Add resource multiplier to containers in case we need them
if not container.env:
container.env = []
container.env += self._generate_default_envs(is_daemon,
update_resource)
def _update_volume(self, vol):
assert isinstance(vol, V1PersistentVolumeClaim)
vol_size = vol.spec.resources.requests["storage"]
def _massage_disk(orig):
return orig * self.disk_mult
if vol_size:
rvc = ResourceValueConverter(value=vol_size, target="storage")
rvc.massage(_massage_disk)
# Since AWS does not support value such as 1.5G, lets round up to its ceil
vol.spec.resources.requests["storage"] = "{}Gi".format(
int(ceil(rvc.convert("Gi"))))
# Manually patch access mode as swagger client mistakenly interprets this as map
vol.spec.access_modes = ["ReadWriteOnce"]
def _generate_default_envs(self, is_daemon, resource_updated):
"""
Add essential variables to all system containers
:param is_daemon:
:return:
"""
default_envs = [
# Kubernetes downward APIs
{
"name": "AX_NODE_NAME",
"path": "spec.nodeName"
},
{
"name": "AX_POD_NAME",
"path": "metadata.name"
},
{
"name": "AX_POD_NAMESPACE",
"path": "metadata.namespace"
},
{
"name": "AX_POD_IP",
"path": "status.podIP"
},
# Values
{
"name": "DISK_MULT",
"value": str(self.disk_mult)
},
{
"name": "AX_TARGET_CLOUD",
"value": Cloud().target_cloud()
},
{
"name": "AX_CLUSTER_NAME_ID",
"value": self._cluster_name_id
},
{
"name": "AX_CUSTOMER_ID",
"value": AXCustomerId().get_customer_id()
},
]
# Special cases for daemons
if is_daemon:
if resource_updated:
default_envs += [
{
"name": "CPU_MULT",
"value": str(self.daemon_cpu_mult)
},
{
"name": "MEM_MULT",
"value": str(self.daemon_mem_mult)
},
]
else:
default_envs += [
{
"name": "CPU_MULT",
"value": "1.0"
},
{
"name": "MEM_MULT",
"value": "1.0"
},
]
else:
default_envs += [
{
"name": "CPU_MULT",
"value": str(self.cpu_mult)
},
{
"name": "MEM_MULT",
"value": str(self.mem_mult)
},
]
rst = []
for d in default_envs:
var = V1EnvVar()
var.name = d["name"]
if d.get("path", None):
field = V1ObjectFieldSelector()
field.field_path = d["path"]
src = V1EnvVarSource()
src.field_ref = field
var.value_from = src
else:
var.value = d["value"]
rst.append(var)
return rst