Files
kubernetes.core/plugins/module_utils/k8s/waiter.py
GomathiselviS b066a2dda3 Cleanup GitHub workflows (#655)
* Cleanup gha

* test by removing matrix excludes

* Rename sanity tests

* trigger integration tests

* Fix ansible-lint workflow

* Fix concurrency

* Add ansible-lint config

* Add ansible-lint config

* Fix integration and lint issues

* integration wf

* fix yamllint issues

* fix yamllint issues

* update readme and add ignore-2.16.txt

* fix ansible-doc

* Add version

* Use /dev/random to generate random data

The GHA environment has difficultly generating entropy. Trying to read
from /dev/urandom just blocks forever. We don't care if the random data
is cryptographically secure; it's just garbage data for the test. Read
from /dev/random, instead. This is only used during the k8s_copy test
target.

This also removes the custom test module that was being used to generate
the files. It's not worth maintaining this for two task that can be
replaced with some simple command/shell tasks.

* Fix saniry errors

* test github_action fix

* Address review comments

* Remove default types

* review comments

* isort fixes

* remove tags

* Add setuptools to venv

* Test gh changes

* update changelog

* update ignore-2.16

* Fix indentation in inventory plugin example

* Update .github/workflows/integration-tests.yaml

* Update integration-tests.yaml

---------

Co-authored-by: Mike Graves <mgraves@redhat.com>
Co-authored-by: Bikouo Aubin <79859644+abikouo@users.noreply.github.com>
2023-11-10 16:33:40 +01:00

245 lines
8.1 KiB
Python

import time
from functools import partial
from typing import Any, Callable, Dict, Iterator, List, Optional, Tuple, Union
from ansible.module_utils.parsing.convert_bool import boolean
from ansible_collections.kubernetes.core.plugins.module_utils.k8s.exceptions import (
CoreException,
)
try:
from kubernetes.dynamic.exceptions import NotFoundError
from kubernetes.dynamic.resource import Resource, ResourceField, ResourceInstance
except ImportError:
# These are defined only for the sake of Ansible's checked import requirement
Resource = Any # type: ignore
ResourceInstance = Any # type: ignore
pass
try:
from urllib3.exceptions import HTTPError
except ImportError:
# Handled during module setup
pass
def deployment_ready(deployment: ResourceInstance) -> bool:
# FIXME: frustratingly bool(deployment.status) is True even if status is empty
# Furthermore deployment.status.availableReplicas == deployment.status.replicas == None if status is empty
# deployment.status.replicas is None is perfectly ok if desired replicas == 0
# Scaling up means that we also need to check that we're not in a
# situation where status.replicas == status.availableReplicas
# but spec.replicas != status.replicas
return bool(
deployment.status
and deployment.spec.replicas == (deployment.status.replicas or 0)
and deployment.status.availableReplicas == deployment.status.replicas
and deployment.status.observedGeneration == deployment.metadata.generation
and not deployment.status.unavailableReplicas
)
def pod_ready(pod: ResourceInstance) -> bool:
return bool(
pod.status
and pod.status.containerStatuses is not None
and all(container.ready for container in pod.status.containerStatuses)
)
def daemonset_ready(daemonset: ResourceInstance) -> bool:
return bool(
daemonset.status
and daemonset.status.desiredNumberScheduled is not None
and daemonset.status.updatedNumberScheduled
== daemonset.status.desiredNumberScheduled
and daemonset.status.numberReady == daemonset.status.desiredNumberScheduled
and daemonset.status.observedGeneration == daemonset.metadata.generation
and not daemonset.status.unavailableReplicas
)
def statefulset_ready(statefulset: ResourceInstance) -> bool:
if statefulset.spec.updateStrategy.type == "OnDelete":
return bool(
statefulset.status
and statefulset.status.observedGeneration
== (statefulset.metadata.generation or 0)
and statefulset.status.replicas == statefulset.spec.replicas
)
# These may be None
updated_replicas = statefulset.status.updatedReplicas or 0
ready_replicas = statefulset.status.readyReplicas or 0
return bool(
statefulset.status
and statefulset.spec.updateStrategy.type == "RollingUpdate"
and statefulset.status.observedGeneration
== (statefulset.metadata.generation or 0)
and statefulset.status.updateRevision == statefulset.status.currentRevision
and updated_replicas == statefulset.spec.replicas
and ready_replicas == statefulset.spec.replicas
and statefulset.status.replicas == statefulset.spec.replicas
)
def custom_condition(condition: Dict, resource: ResourceInstance) -> bool:
if not resource.status or not resource.status.conditions:
return False
matches = [x for x in resource.status.conditions if x.type == condition["type"]]
if not matches:
return False
# There should never be more than one condition of a specific type
match: ResourceField = matches[0]
if match.status == "Unknown":
if match.status == condition["status"]:
if "reason" not in condition:
return True
if condition["reason"]:
return match.reason == condition["reason"]
return False
status = True if match.status == "True" else False
if status == boolean(condition["status"], strict=False):
if condition.get("reason"):
return match.reason == condition["reason"]
return True
return False
def resource_absent(resource: ResourceInstance) -> bool:
return not exists(resource)
def exists(resource: Optional[ResourceInstance]) -> bool:
"""Simple predicate to check for existence of a resource.
While a List type resource technically always exists, this will only return
true if the List contains items."""
return bool(resource) and not empty_list(resource)
RESOURCE_PREDICATES = {
"DaemonSet": daemonset_ready,
"Deployment": deployment_ready,
"Pod": pod_ready,
"StatefulSet": statefulset_ready,
}
def empty_list(resource: ResourceInstance) -> bool:
return resource["kind"].endswith("List") and not resource.get("items")
def clock(total: int, interval: int) -> Iterator[int]:
start = time.monotonic()
yield 0
while (time.monotonic() - start) < total:
time.sleep(interval)
yield int(time.monotonic() - start)
class Waiter:
def __init__(
self, client, resource: Resource, predicate: Callable[[ResourceInstance], bool]
):
self.client = client
self.resource = resource
self.predicate = predicate
def wait(
self,
timeout: int,
sleep: int,
name: Optional[str] = None,
namespace: Optional[str] = None,
label_selectors: Optional[List[str]] = None,
field_selectors: Optional[List[str]] = None,
) -> Tuple[bool, Dict, int]:
params = {}
if name:
params["name"] = name
if namespace:
params["namespace"] = namespace
if label_selectors:
params["label_selector"] = ",".join(label_selectors)
if field_selectors:
params["field_selector"] = ",".join(field_selectors)
instance = {}
response = None
elapsed = 0
for i in clock(timeout, sleep):
exception = None
elapsed = i
try:
response = self.client.get(self.resource, **params)
except NotFoundError:
response = None
# Retry connection errors as it may be intermittent network issues
except HTTPError as e:
exception = e
if self.predicate(response):
break
if exception:
msg = (
"Exception '{0}' raised while trying to get resource using {1}".format(
exception, params
)
)
raise CoreException(msg) from exception
if response:
instance = response.to_dict()
return self.predicate(response), instance, elapsed
class DummyWaiter:
"""A no-op waiter that simply returns the item being waited on.
No API call will be made with this waiter; the function returns
immediately. This waiter is useful for waiting on resource instances in
check mode, for example.
"""
def wait(
self,
definition: Dict,
timeout: int,
sleep: int,
label_selectors: Optional[List[str]] = None,
) -> Tuple[bool, Optional[Dict], int]:
return True, definition, 0
# The better solution would be typing.Protocol, but this is only in 3.8+
SupportsWait = Union[Waiter, DummyWaiter]
def get_waiter(
client,
resource: Resource,
state: str = "present",
condition: Optional[Dict] = None,
check_mode: Optional[bool] = False,
) -> SupportsWait:
"""Create a Waiter object based on the specified resource.
This is a convenience method for creating a waiter from a resource.
Based on the arguments and the kind of resource, an appropriate waiter
will be returned. A waiter can also be created directly, of course.
"""
if check_mode:
return DummyWaiter()
if state == "present":
if condition:
predicate: Callable[[ResourceInstance], bool] = partial(
custom_condition, condition
)
else:
predicate = RESOURCE_PREDICATES.get(resource.kind, exists)
else:
predicate = resource_absent
return Waiter(client, resource, predicate)