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# to you under the Apache License, Version 2.0 (the
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"""
This module contains a Google Kubernetes Engine Hook.
.. spelling:word-list::
gapic
enums
"""
from __future__ import annotations
import contextlib
import json
import time
import warnings
from functools import cached_property
from typing import TYPE_CHECKING, Sequence
from gcloud.aio.auth import Token
from google.api_core.exceptions import NotFound
from google.api_core.gapic_v1.method import DEFAULT, _MethodDefault
from google.auth.transport import requests as google_requests
# not sure why but mypy complains on missing `container_v1` but it is clearly there and is importable
from google.cloud import container_v1, exceptions # type: ignore[attr-defined]
from google.cloud.container_v1 import ClusterManagerAsyncClient, ClusterManagerClient
from google.cloud.container_v1.types import Cluster, Operation
from kubernetes import client
from kubernetes_asyncio import client as async_client
from kubernetes_asyncio.config.kube_config import FileOrData
from urllib3.exceptions import HTTPError
from airflow import version
from airflow.exceptions import AirflowException, AirflowProviderDeprecationWarning
from airflow.providers.cncf.kubernetes.utils.pod_manager import PodOperatorHookProtocol
from airflow.providers.google.common.consts import CLIENT_INFO
from airflow.providers.google.common.hooks.base_google import (
PROVIDE_PROJECT_ID,
GoogleBaseAsyncHook,
GoogleBaseHook,
)
if TYPE_CHECKING:
import google.auth.credentials
from google.api_core.retry import Retry
from kubernetes_asyncio.client.models import V1Pod
[docs]OPERATIONAL_POLL_INTERVAL = 15
[docs]class GKEHook(GoogleBaseHook):
"""Google Kubernetes Engine cluster APIs.
All the methods in the hook where project_id is used must be called with
keyword arguments rather than positional.
"""
def __init__(
self,
gcp_conn_id: str = "google_cloud_default",
location: str | None = None,
impersonation_chain: str | Sequence[str] | None = None,
**kwargs,
) -> None:
if kwargs.get("delegate_to") is not None:
raise RuntimeError(
"The `delegate_to` parameter has been deprecated before and finally removed in this version"
" of Google Provider. You MUST convert it to `impersonate_chain`"
)
super().__init__(
gcp_conn_id=gcp_conn_id,
impersonation_chain=impersonation_chain,
)
self._client: ClusterManagerClient | None = None
self.location = location
[docs] def get_cluster_manager_client(self) -> ClusterManagerClient:
"""Create or get a ClusterManagerClient."""
if self._client is None:
self._client = ClusterManagerClient(credentials=self.get_credentials(), client_info=CLIENT_INFO)
return self._client
# To preserve backward compatibility
# TODO: remove one day
[docs] def get_conn(self) -> container_v1.ClusterManagerClient:
warnings.warn(
"The get_conn method has been deprecated. You should use the get_cluster_manager_client method.",
AirflowProviderDeprecationWarning,
stacklevel=2,
)
return self.get_cluster_manager_client()
# To preserve backward compatibility
# TODO: remove one day
[docs] def get_client(self) -> ClusterManagerClient:
warnings.warn(
"The get_client method has been deprecated. You should use the get_conn method.",
AirflowProviderDeprecationWarning,
stacklevel=2,
)
return self.get_conn()
[docs] def wait_for_operation(self, operation: Operation, project_id: str | None = None) -> Operation:
"""Continuously fetch the status from Google Cloud.
This is done until the given operation completes, or raises an error.
:param operation: The Operation to wait for.
:param project_id: Google Cloud project ID.
:return: A new, updated operation fetched from Google Cloud.
"""
self.log.info("Waiting for OPERATION_NAME %s", operation.name)
time.sleep(OPERATIONAL_POLL_INTERVAL)
while operation.status != Operation.Status.DONE:
if operation.status in (Operation.Status.RUNNING, Operation.Status.PENDING):
time.sleep(OPERATIONAL_POLL_INTERVAL)
else:
raise exceptions.GoogleCloudError(f"Operation has failed with status: {operation.status}")
# To update status of operation
operation = self.get_operation(operation.name, project_id=project_id or self.project_id)
return operation
[docs] def get_operation(self, operation_name: str, project_id: str | None = None) -> Operation:
"""Get an operation from Google Cloud.
:param operation_name: Name of operation to fetch
:param project_id: Google Cloud project ID
:return: The new, updated operation from Google Cloud
"""
return self.get_cluster_manager_client().get_operation(
name=(
f"projects/{project_id or self.project_id}"
f"/locations/{self.location}/operations/{operation_name}"
)
)
@staticmethod
def _append_label(cluster_proto: Cluster, key: str, val: str) -> Cluster:
"""Append labels to provided Cluster Protobuf.
Labels must fit the regex ``[a-z]([-a-z0-9]*[a-z0-9])?`` (current
airflow version string follows semantic versioning spec: x.y.z).
:param cluster_proto: The proto to append resource_label airflow
version to
:param key: The key label
:param val:
:return: The cluster proto updated with new label
"""
val = val.replace(".", "-").replace("+", "-")
cluster_proto.resource_labels.update({key: val})
return cluster_proto
@GoogleBaseHook.fallback_to_default_project_id
[docs] def delete_cluster(
self,
name: str,
project_id: str = PROVIDE_PROJECT_ID,
wait_to_complete: bool = True,
retry: Retry | _MethodDefault = DEFAULT,
timeout: float | None = None,
) -> Operation | None:
"""Deletes the cluster, the Kubernetes endpoint, and all worker nodes.
Firewalls and routes that were configured during cluster creation are
also deleted. Other Google Compute Engine resources that might be in use
by the cluster (e.g. load balancer resources) will not be deleted if
they were not present at the initial create time.
:param name: The name of the cluster to delete.
:param project_id: Google Cloud project ID.
:param wait_to_complete: If *True*, wait until the deletion is finished
before returning.
:param retry: Retry object used to determine when/if to retry requests.
If None is specified, requests will not be retried.
:param timeout: The amount of time, in seconds, to wait for the request
to complete. Note that if retry is specified, the timeout applies to
each individual attempt.
:return: The full url to the delete operation if successful, else None.
"""
self.log.info("Deleting (project_id=%s, location=%s, cluster_id=%s)", project_id, self.location, name)
try:
operation = self.get_cluster_manager_client().delete_cluster(
name=f"projects/{project_id}/locations/{self.location}/clusters/{name}",
retry=retry,
timeout=timeout,
)
if wait_to_complete:
operation = self.wait_for_operation(operation, project_id)
# Returns server-defined url for the resource
return operation
except NotFound as error:
self.log.info("Assuming Success: %s", error.message)
return None
@GoogleBaseHook.fallback_to_default_project_id
[docs] def create_cluster(
self,
cluster: dict | Cluster,
project_id: str = PROVIDE_PROJECT_ID,
wait_to_complete: bool = True,
retry: Retry | _MethodDefault = DEFAULT,
timeout: float | None = None,
) -> Operation | Cluster:
"""Create a cluster.
This should consist of the specified number, and the type of Google
Compute Engine instances.
:param cluster: A Cluster protobuf or dict. If dict is provided, it must
be of the same form as the protobuf message
:class:`google.cloud.container_v1.types.Cluster`.
:param project_id: Google Cloud project ID.
:param wait_to_complete: A boolean value which makes method to sleep
while operation of creation is not finished.
:param retry: A retry object (``google.api_core.retry.Retry``) used to
retry requests. If None is specified, requests will not be retried.
:param timeout: The amount of time, in seconds, to wait for the request
to complete. Note that if retry is specified, the timeout applies to
each individual attempt.
:return: The full url to the new, or existing, cluster.
:raises ParseError: On JSON parsing problems when trying to convert
dict.
:raises AirflowException: cluster is not dict type nor Cluster proto
type.
"""
if isinstance(cluster, dict):
cluster = Cluster.from_json(json.dumps(cluster))
elif not isinstance(cluster, Cluster):
raise AirflowException("cluster is not instance of Cluster proto or python dict")
self._append_label(cluster, "airflow-version", "v" + version.version) # type: ignore
self.log.info(
"Creating (project_id=%s, location=%s, cluster_name=%s)",
project_id,
self.location,
cluster.name, # type: ignore
)
operation = self.get_cluster_manager_client().create_cluster(
parent=f"projects/{project_id}/locations/{self.location}",
cluster=cluster, # type: ignore
retry=retry,
timeout=timeout,
)
if wait_to_complete:
operation = self.wait_for_operation(operation, project_id)
return operation
@GoogleBaseHook.fallback_to_default_project_id
[docs] def get_cluster(
self,
name: str,
project_id: str = PROVIDE_PROJECT_ID,
retry: Retry | _MethodDefault = DEFAULT,
timeout: float | None = None,
) -> Cluster:
"""Get details of specified cluster.
:param name: The name of the cluster to retrieve.
:param project_id: Google Cloud project ID.
:param retry: A retry object used to retry requests. If None is
specified, requests will not be retried.
:param timeout: The amount of time, in seconds, to wait for the request
to complete. Note that if retry is specified, the timeout applies to
each individual attempt.
"""
self.log.info(
"Fetching cluster (project_id=%s, location=%s, cluster_name=%s)",
project_id or self.project_id,
self.location,
name,
)
return self.get_cluster_manager_client().get_cluster(
name=f"projects/{project_id}/locations/{self.location}/clusters/{name}",
retry=retry,
timeout=timeout,
)
[docs]class GKEAsyncHook(GoogleBaseAsyncHook):
"""Asynchronous client of GKE."""
[docs] sync_hook_class = GKEHook
def __init__(
self,
gcp_conn_id: str = "google_cloud_default",
location: str | None = None,
impersonation_chain: str | Sequence[str] | None = None,
) -> None:
super().__init__(
gcp_conn_id=gcp_conn_id,
impersonation_chain=impersonation_chain,
)
self._client: ClusterManagerAsyncClient | None = None
self.location = location
async def _get_client(self) -> ClusterManagerAsyncClient:
if self._client is None:
self._client = ClusterManagerAsyncClient(
credentials=(await self.get_sync_hook()).get_credentials(),
client_info=CLIENT_INFO,
)
return self._client
@GoogleBaseHook.fallback_to_default_project_id
[docs] async def get_operation(
self,
operation_name: str,
project_id: str = PROVIDE_PROJECT_ID,
) -> Operation:
"""Fetch an operation from Google Cloud.
:param operation_name: Name of operation to fetch.
:param project_id: Google Cloud project ID.
:return: The new, updated operation from Google Cloud.
"""
project_id = project_id or (await self.get_sync_hook()).project_id
operation_path = f"projects/{project_id}/locations/{self.location}/operations/{operation_name}"
client = await self._get_client()
return await client.get_operation(
name=operation_path,
)
[docs]class GKEPodHook(GoogleBaseHook, PodOperatorHookProtocol):
"""Google Kubernetes Engine pod APIs."""
def __init__(
self,
cluster_url: str,
ssl_ca_cert: str,
gcp_conn_id: str = "google_cloud_default",
impersonation_chain: str | Sequence[str] | None = None,
**kwargs,
):
super().__init__(
gcp_conn_id=gcp_conn_id,
impersonation_chain=impersonation_chain,
**kwargs,
)
self._cluster_url = cluster_url
self._ssl_ca_cert = ssl_ca_cert
@cached_property
[docs] def api_client(self) -> client.ApiClient:
return self.get_conn()
@cached_property
[docs] def core_v1_client(self) -> client.CoreV1Api:
return client.CoreV1Api(self.api_client)
@property
[docs] def is_in_cluster(self) -> bool:
return False
[docs] def get_namespace(self):
"""Get the namespace configured by the Airflow connection."""
def _get_namespace(self):
"""For compatibility with KubernetesHook. Deprecated; do not use."""
[docs] def get_xcom_sidecar_container_image(self):
"""Get the xcom sidecar image defined in the connection.
Implemented for compatibility with KubernetesHook.
"""
[docs] def get_xcom_sidecar_container_resources(self):
"""Get the xcom sidecar resources defined in the connection.
Implemented for compatibility with KubernetesHook.
"""
[docs] def get_conn(self) -> client.ApiClient:
configuration = self._get_config()
configuration.refresh_api_key_hook = self._refresh_api_key_hook
return client.ApiClient(configuration)
def _refresh_api_key_hook(self, configuration: client.configuration.Configuration):
configuration.api_key = {"authorization": self._get_token(self.get_credentials())}
def _get_config(self) -> client.configuration.Configuration:
configuration = client.Configuration(
host=self._cluster_url,
api_key_prefix={"authorization": "Bearer"},
api_key={"authorization": self._get_token(self.get_credentials())},
)
configuration.ssl_ca_cert = FileOrData(
{
"certificate-authority-data": self._ssl_ca_cert,
},
file_key_name="certificate-authority",
).as_file()
return configuration
@staticmethod
def _get_token(creds: google.auth.credentials.Credentials) -> str:
if creds.token is None or creds.expired:
auth_req = google_requests.Request()
creds.refresh(auth_req)
return creds.token
[docs] def get_pod(self, name: str, namespace: str) -> V1Pod:
"""Get a pod object.
:param name: Name of the pod.
:param namespace: Name of the pod's namespace.
"""
return self.core_v1_client.read_namespaced_pod(
name=name,
namespace=namespace,
)
[docs]class GKEPodAsyncHook(GoogleBaseAsyncHook):
"""Google Kubernetes Engine pods APIs asynchronously.
:param cluster_url: The URL pointed to the cluster.
:param ssl_ca_cert: SSL certificate used for authentication to the pod.
"""
[docs] sync_hook_class = GKEPodHook
[docs] scopes = ["https://www.googleapis.com/auth/cloud-platform"]
def __init__(
self,
cluster_url: str,
ssl_ca_cert: str,
gcp_conn_id: str = "google_cloud_default",
impersonation_chain: str | Sequence[str] | None = None,
**kwargs,
) -> None:
self._cluster_url = cluster_url
self._ssl_ca_cert = ssl_ca_cert
super().__init__(
cluster_url=cluster_url,
ssl_ca_cert=ssl_ca_cert,
gcp_conn_id=gcp_conn_id,
impersonation_chain=impersonation_chain,
**kwargs,
)
@contextlib.asynccontextmanager
[docs] async def get_conn(self, token: Token) -> async_client.ApiClient: # type: ignore[override]
kube_client = None
try:
kube_client = await self._load_config(token)
yield kube_client
finally:
if kube_client is not None:
await kube_client.close()
async def _load_config(self, token: Token) -> async_client.ApiClient:
configuration = self._get_config()
access_token = await token.get()
return async_client.ApiClient(
configuration,
header_name="Authorization",
header_value=f"Bearer {access_token}",
)
def _get_config(self) -> async_client.configuration.Configuration:
configuration = async_client.Configuration(
host=self._cluster_url,
ssl_ca_cert=FileOrData(
{
"certificate-authority-data": self._ssl_ca_cert,
},
file_key_name="certificate-authority",
).as_file(),
)
return configuration
[docs] async def get_pod(self, name: str, namespace: str) -> V1Pod:
"""Get a pod object.
:param name: Name of the pod.
:param namespace: Name of the pod's namespace.
"""
async with Token(scopes=self.scopes) as token:
async with self.get_conn(token) as connection:
v1_api = async_client.CoreV1Api(connection)
pod: V1Pod = await v1_api.read_namespaced_pod(
name=name,
namespace=namespace,
)
return pod
[docs] async def delete_pod(self, name: str, namespace: str):
"""Delete a pod.
:param name: Name of the pod.
:param namespace: Name of the pod's namespace.
"""
async with Token(scopes=self.scopes) as token, self.get_conn(token) as connection:
try:
v1_api = async_client.CoreV1Api(connection)
await v1_api.delete_namespaced_pod(
name=name,
namespace=namespace,
body=client.V1DeleteOptions(),
)
except async_client.ApiException as e:
# If the pod is already deleted
if e.status != 404:
raise
[docs] async def read_logs(self, name: str, namespace: str):
"""Read logs inside the pod while starting containers inside.
All the logs will be outputted with its timestamp to track the logs
after the execution of the pod is completed. The method is used for
async output of the logs only in the pod failed it execution or the task
was cancelled by the user.
:param name: Name of the pod.
:param namespace: Name of the pod's namespace.
"""
async with Token(scopes=self.scopes) as token, self.get_conn(token) as connection:
try:
v1_api = async_client.CoreV1Api(connection)
logs = await v1_api.read_namespaced_pod_log(
name=name,
namespace=namespace,
follow=False,
timestamps=True,
)
logs = logs.splitlines()
for line in logs:
self.log.info("Container logs from %s", line)
return logs
except HTTPError:
self.log.exception("There was an error reading the kubernetes API.")
raise
