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"""Interact with Amazon EKS, using the boto3 library."""
from __future__ import annotations
import base64
import json
import sys
import tempfile
from contextlib import contextmanager
from enum import Enum
from functools import partial
from typing import Callable, Generator
from botocore.exceptions import ClientError
from botocore.signers import RequestSigner
from airflow.providers.amazon.aws.hooks.base_aws import AwsBaseHook
from airflow.utils import yaml
from airflow.utils.json import AirflowJsonEncoder
[docs]STS_TOKEN_EXPIRES_IN = 60
[docs]AUTHENTICATION_API_VERSION = "client.authentication.k8s.io/v1alpha1"
_POD_USERNAME = "aws"
_CONTEXT_NAME = "aws"
[docs]class ClusterStates(Enum):
"""Contains the possible State values of an EKS Cluster."""
[docs] NONEXISTENT = "NONEXISTENT"
[docs]class FargateProfileStates(Enum):
"""Contains the possible State values of an AWS Fargate profile."""
[docs] CREATE_FAILED = "CREATE_FAILED"
[docs] DELETE_FAILED = "DELETE_FAILED"
[docs] NONEXISTENT = "NONEXISTENT"
[docs]class NodegroupStates(Enum):
"""Contains the possible State values of an EKS Managed Nodegroup."""
[docs] CREATE_FAILED = "CREATE_FAILED"
[docs] DELETE_FAILED = "DELETE_FAILED"
[docs] NONEXISTENT = "NONEXISTENT"
[docs]COMMAND = """
output=$({python_executable} -m airflow.providers.amazon.aws.utils.eks_get_token \
--cluster-name {eks_cluster_name} {args} 2>&1)
if [ $? -ne 0 ]; then
echo "Error running the script"
exit 1
fi
expiration_timestamp=$(echo "$output" | grep -oP 'expirationTimestamp: \\K[^,]+')
token=$(echo "$output" | grep -oP 'token: \\K[^,]+')
json_string=$(printf '{{"kind": "ExecCredential","apiVersion": \
"client.authentication.k8s.io/v1alpha1","spec": {{}},"status": \
{{"expirationTimestamp": "%s","token": "%s"}}}}' "$expiration_timestamp" "$token")
echo $json_string
"""
[docs]class EksHook(AwsBaseHook):
"""
Interact with Amazon Elastic Kubernetes Service (EKS).
Provide thin wrapper around :external+boto3:py:class:`boto3.client("eks") <EKS.Client>`.
Additional arguments (such as ``aws_conn_id``) may be specified and
are passed down to the underlying AwsBaseHook.
.. seealso::
- :class:`airflow.providers.amazon.aws.hooks.base_aws.AwsBaseHook`
"""
def __init__(self, *args, **kwargs) -> None:
kwargs["client_type"] = self.client_type
super().__init__(*args, **kwargs)
[docs] def create_cluster(
self,
name: str,
roleArn: str,
resourcesVpcConfig: dict,
**kwargs,
) -> dict:
"""
Create an Amazon EKS control plane.
.. seealso::
- :external+boto3:py:meth:`EKS.Client.create_cluster`
:param name: The unique name to give to your Amazon EKS Cluster.
:param roleArn: The Amazon Resource Name (ARN) of the IAM role that provides permissions
for the Kubernetes control plane to make calls to AWS API operations on your behalf.
:param resourcesVpcConfig: The VPC configuration used by the cluster control plane.
:return: Returns descriptive information about the created EKS Cluster.
"""
eks_client = self.conn
response = eks_client.create_cluster(
name=name, roleArn=roleArn, resourcesVpcConfig=resourcesVpcConfig, **kwargs
)
self.log.info("Created Amazon EKS cluster with the name %s.", response.get("cluster").get("name"))
return response
[docs] def create_nodegroup(
self,
clusterName: str,
nodegroupName: str,
subnets: list[str],
nodeRole: str | None,
*,
tags: dict | None = None,
**kwargs,
) -> dict:
"""
Create an Amazon EKS managed node group for an Amazon EKS Cluster.
.. seealso::
- :external+boto3:py:meth:`EKS.Client.create_nodegroup`
:param clusterName: The name of the Amazon EKS cluster to create the EKS Managed Nodegroup in.
:param nodegroupName: The unique name to give your managed nodegroup.
:param subnets: The subnets to use for the Auto Scaling group that is created for your nodegroup.
:param nodeRole: The Amazon Resource Name (ARN) of the IAM role to associate with your nodegroup.
:param tags: Optional tags to apply to your nodegroup.
:return: Returns descriptive information about the created EKS Managed Nodegroup.
"""
eks_client = self.conn
# The below tag is mandatory and must have a value of either 'owned' or 'shared'
# A value of 'owned' denotes that the subnets are exclusive to the nodegroup.
# The 'shared' value allows more than one resource to use the subnet.
cluster_tag_key = f"kubernetes.io/cluster/{clusterName}"
resolved_tags = tags or {}
if cluster_tag_key not in resolved_tags:
resolved_tags[cluster_tag_key] = "owned"
response = eks_client.create_nodegroup(
clusterName=clusterName,
nodegroupName=nodegroupName,
subnets=subnets,
nodeRole=nodeRole,
tags=resolved_tags,
**kwargs,
)
self.log.info(
"Created an Amazon EKS managed node group named %s in Amazon EKS cluster %s",
response.get("nodegroup").get("nodegroupName"),
response.get("nodegroup").get("clusterName"),
)
return response
[docs] def create_fargate_profile(
self,
clusterName: str,
fargateProfileName: str | None,
podExecutionRoleArn: str | None,
selectors: list,
**kwargs,
) -> dict:
"""
Create an AWS Fargate profile for an Amazon EKS cluster.
.. seealso::
- :external+boto3:py:meth:`EKS.Client.create_fargate_profile`
:param clusterName: The name of the Amazon EKS cluster to apply the Fargate profile to.
:param fargateProfileName: The name of the Fargate profile.
:param podExecutionRoleArn: The Amazon Resource Name (ARN) of the pod execution role to
use for pods that match the selectors in the Fargate profile.
:param selectors: The selectors to match for pods to use this Fargate profile.
:return: Returns descriptive information about the created Fargate profile.
"""
eks_client = self.conn
response = eks_client.create_fargate_profile(
clusterName=clusterName,
fargateProfileName=fargateProfileName,
podExecutionRoleArn=podExecutionRoleArn,
selectors=selectors,
**kwargs,
)
self.log.info(
"Created AWS Fargate profile with the name %s for Amazon EKS cluster %s.",
response.get("fargateProfile").get("fargateProfileName"),
response.get("fargateProfile").get("clusterName"),
)
return response
[docs] def delete_cluster(self, name: str) -> dict:
"""
Delete the Amazon EKS Cluster control plane.
.. seealso::
- :external+boto3:py:meth:`EKS.Client.delete_cluster`
:param name: The name of the cluster to delete.
:return: Returns descriptive information about the deleted EKS Cluster.
"""
eks_client = self.conn
response = eks_client.delete_cluster(name=name)
self.log.info("Deleted Amazon EKS cluster with the name %s.", response.get("cluster").get("name"))
return response
[docs] def delete_nodegroup(self, clusterName: str, nodegroupName: str) -> dict:
"""
Delete an Amazon EKS managed node group from a specified cluster.
.. seealso::
- :external+boto3:py:meth:`EKS.Client.delete_nodegroup`
:param clusterName: The name of the Amazon EKS Cluster that is associated with your nodegroup.
:param nodegroupName: The name of the nodegroup to delete.
:return: Returns descriptive information about the deleted EKS Managed Nodegroup.
"""
eks_client = self.conn
response = eks_client.delete_nodegroup(clusterName=clusterName, nodegroupName=nodegroupName)
self.log.info(
"Deleted Amazon EKS managed node group named %s from Amazon EKS cluster %s.",
response.get("nodegroup").get("nodegroupName"),
response.get("nodegroup").get("clusterName"),
)
return response
[docs] def delete_fargate_profile(self, clusterName: str, fargateProfileName: str) -> dict:
"""
Delete an AWS Fargate profile from a specified Amazon EKS cluster.
.. seealso::
- :external+boto3:py:meth:`EKS.Client.delete_fargate_profile`
:param clusterName: The name of the Amazon EKS cluster associated with the Fargate profile to delete.
:param fargateProfileName: The name of the Fargate profile to delete.
:return: Returns descriptive information about the deleted Fargate profile.
"""
eks_client = self.conn
response = eks_client.delete_fargate_profile(
clusterName=clusterName, fargateProfileName=fargateProfileName
)
self.log.info(
"Deleted AWS Fargate profile with the name %s from Amazon EKS cluster %s.",
response.get("fargateProfile").get("fargateProfileName"),
response.get("fargateProfile").get("clusterName"),
)
return response
[docs] def describe_cluster(self, name: str, verbose: bool = False) -> dict:
"""
Return descriptive information about an Amazon EKS Cluster.
.. seealso::
- :external+boto3:py:meth:`EKS.Client.describe_cluster`
:param name: The name of the cluster to describe.
:param verbose: Provides additional logging if set to True. Defaults to False.
:return: Returns descriptive information about a specific EKS Cluster.
"""
eks_client = self.conn
response = eks_client.describe_cluster(name=name)
self.log.info(
"Retrieved details for Amazon EKS cluster named %s.", response.get("cluster").get("name")
)
if verbose:
cluster_data = response.get("cluster")
self.log.info("Amazon EKS cluster details: %s", json.dumps(cluster_data, cls=AirflowJsonEncoder))
return response
[docs] def describe_nodegroup(self, clusterName: str, nodegroupName: str, verbose: bool = False) -> dict:
"""
Return descriptive information about an Amazon EKS managed node group.
.. seealso::
- :external+boto3:py:meth:`EKS.Client.describe_nodegroup`
:param clusterName: The name of the Amazon EKS Cluster associated with the nodegroup.
:param nodegroupName: The name of the nodegroup to describe.
:param verbose: Provides additional logging if set to True. Defaults to False.
:return: Returns descriptive information about a specific EKS Nodegroup.
"""
eks_client = self.conn
response = eks_client.describe_nodegroup(clusterName=clusterName, nodegroupName=nodegroupName)
self.log.info(
"Retrieved details for Amazon EKS managed node group named %s in Amazon EKS cluster %s.",
response.get("nodegroup").get("nodegroupName"),
response.get("nodegroup").get("clusterName"),
)
if verbose:
nodegroup_data = response.get("nodegroup")
self.log.info(
"Amazon EKS managed node group details: %s",
json.dumps(nodegroup_data, cls=AirflowJsonEncoder),
)
return response
[docs] def describe_fargate_profile(
self, clusterName: str, fargateProfileName: str, verbose: bool = False
) -> dict:
"""
Return descriptive information about an AWS Fargate profile.
.. seealso::
- :external+boto3:py:meth:`EKS.Client.describe_fargate_profile`
:param clusterName: The name of the Amazon EKS Cluster associated with the Fargate profile.
:param fargateProfileName: The name of the Fargate profile to describe.
:param verbose: Provides additional logging if set to True. Defaults to False.
:return: Returns descriptive information about an AWS Fargate profile.
"""
eks_client = self.conn
response = eks_client.describe_fargate_profile(
clusterName=clusterName, fargateProfileName=fargateProfileName
)
self.log.info(
"Retrieved details for AWS Fargate profile named %s in Amazon EKS cluster %s.",
response.get("fargateProfile").get("fargateProfileName"),
response.get("fargateProfile").get("clusterName"),
)
if verbose:
fargate_profile_data = response.get("fargateProfile")
self.log.info(
"AWS Fargate profile details: %s", json.dumps(fargate_profile_data, cls=AirflowJsonEncoder)
)
return response
[docs] def get_cluster_state(self, clusterName: str) -> ClusterStates:
"""
Return the current status of a given Amazon EKS Cluster.
.. seealso::
- :external+boto3:py:meth:`EKS.Client.describe_cluster`
:param clusterName: The name of the cluster to check.
:return: Returns the current status of a given Amazon EKS Cluster.
"""
eks_client = self.conn
try:
return ClusterStates(eks_client.describe_cluster(name=clusterName).get("cluster").get("status"))
except ClientError as ex:
if ex.response.get("Error").get("Code") == "ResourceNotFoundException":
return ClusterStates.NONEXISTENT
raise
[docs] def get_fargate_profile_state(self, clusterName: str, fargateProfileName: str) -> FargateProfileStates:
"""
Return the current status of a given AWS Fargate profile.
.. seealso::
- :external+boto3:py:meth:`EKS.Client.describe_fargate_profile`
:param clusterName: The name of the Amazon EKS Cluster associated with the Fargate profile.
:param fargateProfileName: The name of the Fargate profile to check.
:return: Returns the current status of a given AWS Fargate profile.
"""
eks_client = self.conn
try:
return FargateProfileStates(
eks_client.describe_fargate_profile(
clusterName=clusterName, fargateProfileName=fargateProfileName
)
.get("fargateProfile")
.get("status")
)
except ClientError as ex:
if ex.response.get("Error").get("Code") == "ResourceNotFoundException":
return FargateProfileStates.NONEXISTENT
raise
[docs] def get_nodegroup_state(self, clusterName: str, nodegroupName: str) -> NodegroupStates:
"""
Return the current status of a given Amazon EKS managed node group.
.. seealso::
- :external+boto3:py:meth:`EKS.Client.describe_nodegroup`
:param clusterName: The name of the Amazon EKS Cluster associated with the nodegroup.
:param nodegroupName: The name of the nodegroup to check.
:return: Returns the current status of a given Amazon EKS Nodegroup.
"""
eks_client = self.conn
try:
return NodegroupStates(
eks_client.describe_nodegroup(clusterName=clusterName, nodegroupName=nodegroupName)
.get("nodegroup")
.get("status")
)
except ClientError as ex:
if ex.response.get("Error").get("Code") == "ResourceNotFoundException":
return NodegroupStates.NONEXISTENT
raise
[docs] def list_clusters(
self,
verbose: bool = False,
) -> list:
"""
List all Amazon EKS Clusters in your AWS account.
.. seealso::
- :external+boto3:py:meth:`EKS.Client.list_clusters`
:param verbose: Provides additional logging if set to True. Defaults to False.
:return: A List containing the cluster names.
"""
eks_client = self.conn
list_cluster_call = partial(eks_client.list_clusters)
return self._list_all(api_call=list_cluster_call, response_key="clusters", verbose=verbose)
[docs] def list_nodegroups(
self,
clusterName: str,
verbose: bool = False,
) -> list:
"""
List all Amazon EKS managed node groups associated with the specified cluster.
.. seealso::
- :external+boto3:py:meth:`EKS.Client.list_nodegroups`
:param clusterName: The name of the Amazon EKS Cluster containing nodegroups to list.
:param verbose: Provides additional logging if set to True. Defaults to False.
:return: A List of nodegroup names within the given cluster.
"""
eks_client = self.conn
list_nodegroups_call = partial(eks_client.list_nodegroups, clusterName=clusterName)
return self._list_all(api_call=list_nodegroups_call, response_key="nodegroups", verbose=verbose)
[docs] def list_fargate_profiles(
self,
clusterName: str,
verbose: bool = False,
) -> list:
"""
List all AWS Fargate profiles associated with the specified cluster.
.. seealso::
- :external+boto3:py:meth:`EKS.Client.list_fargate_profiles`
:param clusterName: The name of the Amazon EKS Cluster containing Fargate profiles to list.
:param verbose: Provides additional logging if set to True. Defaults to False.
:return: A list of Fargate profile names within a given cluster.
"""
eks_client = self.conn
list_fargate_profiles_call = partial(eks_client.list_fargate_profiles, clusterName=clusterName)
return self._list_all(
api_call=list_fargate_profiles_call, response_key="fargateProfileNames", verbose=verbose
)
def _list_all(self, api_call: Callable, response_key: str, verbose: bool) -> list:
"""
Repeatedly call a provided boto3 API Callable and collates the responses into a List.
:param api_call: The api command to execute.
:param response_key: Which dict key to collect into the final list.
:param verbose: Provides additional logging if set to True. Defaults to False.
:return: A List of the combined results of the provided API call.
"""
name_collection: list = []
token = DEFAULT_PAGINATION_TOKEN
while token is not None:
response = api_call(nextToken=token)
# If response list is not empty, append it to the running list.
name_collection += filter(None, response.get(response_key))
token = response.get("nextToken")
self.log.info("Retrieved list of %s %s.", len(name_collection), response_key)
if verbose:
self.log.info("%s found: %s", response_key.title(), name_collection)
return name_collection
@contextmanager
[docs] def generate_config_file(
self,
eks_cluster_name: str,
pod_namespace: str | None,
) -> Generator[str, None, None]:
"""
Write the kubeconfig file given an EKS Cluster.
:param eks_cluster_name: The name of the cluster to generate kubeconfig file for.
:param pod_namespace: The namespace to run within kubernetes.
"""
args = ""
if self.region_name is not None:
args = args + f" --region-name {self.region_name}"
if self.aws_conn_id is not None:
args = args + f" --aws-conn-id {self.aws_conn_id}"
# We need to determine which python executable the host is running in order to correctly
# call the eks_get_token.py script.
python_executable = f"python{sys.version_info[0]}.{sys.version_info[1]}"
# Set up the client
eks_client = self.conn
# Get cluster details
cluster = eks_client.describe_cluster(name=eks_cluster_name)
cluster_cert = cluster["cluster"]["certificateAuthority"]["data"]
cluster_ep = cluster["cluster"]["endpoint"]
cluster_config = {
"apiVersion": "v1",
"kind": "Config",
"clusters": [
{
"cluster": {"server": cluster_ep, "certificate-authority-data": cluster_cert},
"name": eks_cluster_name,
}
],
"contexts": [
{
"context": {
"cluster": eks_cluster_name,
"namespace": pod_namespace,
"user": _POD_USERNAME,
},
"name": _CONTEXT_NAME,
}
],
"current-context": _CONTEXT_NAME,
"preferences": {},
"users": [
{
"name": _POD_USERNAME,
"user": {
"exec": {
"apiVersion": AUTHENTICATION_API_VERSION,
"command": "sh",
"args": [
"-c",
COMMAND.format(
python_executable=python_executable,
eks_cluster_name=eks_cluster_name,
args=args,
),
],
"interactiveMode": "Never",
}
},
}
],
}
config_text = yaml.dump(cluster_config, default_flow_style=False)
with tempfile.NamedTemporaryFile(mode="w") as config_file:
config_file.write(config_text)
config_file.flush()
yield config_file.name
[docs] def fetch_access_token_for_cluster(self, eks_cluster_name: str) -> str:
session = self.get_session()
service_id = self.conn.meta.service_model.service_id
sts_url = (
f"https://sts.{session.region_name}.amazonaws.com/?Action=GetCallerIdentity&Version=2011-06-15"
)
signer = RequestSigner(
service_id=service_id,
region_name=session.region_name,
signing_name="sts",
signature_version="v4",
credentials=session.get_credentials(),
event_emitter=session.events,
)
request_params = {
"method": "GET",
"url": sts_url,
"body": {},
"headers": {"x-k8s-aws-id": eks_cluster_name},
"context": {},
}
signed_url = signer.generate_presigned_url(
request_dict=request_params,
region_name=session.region_name,
expires_in=STS_TOKEN_EXPIRES_IN,
operation_name="",
)
base64_url = base64.urlsafe_b64encode(signed_url.encode("utf-8")).decode("utf-8")
# remove any base64 encoding padding:
return "k8s-aws-v1." + base64_url.rstrip("=")