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feat: cluster list fetchers and cluster resource fetcher #15

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@tmishina tmishina commented Aug 13, 2020

What

This pull request provides a feature to fetch resources of kubernetes clusters achieves (see #9 in details).
The PR also includes a capability to store lists of kubernetes clusters into an evidence locker from BOM (Bill of Materials) and APIs of cloud service providers.

Why

The resources in a kubernetes cluster contain various types of evidences; for example, spec of Pods represents configuration of applications, ConfigMap contains the configuration for the kubernetes cluster itself, and threfore fetching the resources of a kubernetes cluster is important capability for compliance evidence validation of kubernetes clusters.

How

This PR contains two main functionalities.

  • cluster list fetcher: store the list of clusters
    • kube/fetchers/fetch_cluster_list.py: copy BOM (Bill of Materials) specified in an auditree config file into an evidence locker
    • ibm_cloud/fetchers/fetch_cluster_list.py: fetch the list of clusters managed by IBM Cloud (IBM Kubernetes Service or IKS, and Red Hat Openshift Kubernetes Services or ROKS) by invoking the ibmcloud CLI tool
  • cluster resource fetcher: fetch resources from the listed clusters by invoking kubectl CLI tool

Test

  • tests of cluster list fetcher (kubernetes and ibm_cloud) and cluster resource fetcher were passed for the IBM Cloud clusters (both IKS and ROKS)

Context

@tmishina tmishina force-pushed the 9-cluster-resource-fetcher branch from 51e549c to 02ba30c Compare August 13, 2020 00:55
@alfinkel
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alfinkel commented Aug 14, 2020

@tmishina - I will have a look on Monday. In the mean time, can you read the DCO and check the box in the PR description if you agree?

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@alfinkel thank you, I've checked the box of DCO. and I will perform git rebase main.

@tmishina tmishina force-pushed the 9-cluster-resource-fetcher branch from 02ba30c to 5d97cf3 Compare August 16, 2020 13:23
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I reviewed through the "IKS" cluster lists fetcher but you can apply README and other general comments to the entire PR. Address/answer the questions raised and I'll continue the review of the other fetcher after that.

Comment on lines 1 to 48
# -*- mode:python; coding:utf-8 -*-
# Copyright (c) 2020 IBM Corp. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""Common error classes."""


class CommandExecutionError(RuntimeError):
"""Represents error at executing command."""

def __init__(self, cmd, stdout, stderr, returncode):
"""Initialize an instance.

Initialize an instance with the return values of the command.
"""
self.__cmd = cmd
self.__stdout = stdout
self.__stderr = stderr
self.__returncode = returncode

def __str__(self):
"""Get information about the command line and its result."""
return (
f'Error running command: {self.cmd}\n'
f'returncode: {self.returncode}\n'
f'stdout: {self.stdout}\n'
f'stderr: {self.stderr}'
)

@property
def cmd(self):
"""Get command line text."""
return self.__cmd

@property
def stdout(self):
"""Get standard out text of the command."""
return self.__stdout
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  • I'd call this exceptions.py to more closely mirror the naming in the framework.
  • It also seems unnecessary to explicitly use the @property decorator here.
  • You should also just use one underscore rather than two for private attributes but I think we don't really need them in this class.

Suggest changing this class to this and renaming as exceptions.py:

# -*- mode:python; coding:utf-8 -*-
# Copyright (c) 2020 IBM Corp. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""Common custom exception classes."""


class CommandExecutionError(RuntimeError):
    """System command executed exception class."""

    def __init__(self, cmd, stdout, stderr, returncode):
        """
        Initialize an instance.

        Initialize an instance with the return values of the command.
        """
        self.cmd = cmd
        self.stdout = stdout
        self.stderr = stderr
        self.returncode = returncode



def run_command(cmd, secrets=None):
"""Run commands in a system."""
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Suggested change
"""Run commands in a system."""
"""Execute system command."""

def run_command(cmd, secrets=None):
"""Run commands in a system."""
if type(cmd) == str:
cmd = cmd.split(' ')
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What else would it be if not a string? Also, you should use isinstance() instead of type() but I think this entire if block is not necessary if cmd will always be a string.

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my intention for cmd is that it should accept str or list of str because subprocess.Popen accepts str (if shell=True) or list of str (if shell=False). By accepting both types, user of this function does not need to care about the internal implementation.

To clearly show the intention (and apply your comment about type and isinstance), I plan to modify the code as follows.

    """
    Execute system command.

    :param cmd: a space-separated string or a list of string
    :param secrets: a text which should be masked in log text.
    :returns: standard output of the command.
    """
    if isinstance(cmd, str):
        cmd = cmd.split(' ')
    elif not isinstance(cmd, list):
        raise TypeError('given command line was neither '
                        f'a space-separated string nor list of string: {cmd}')

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@alfinkel alfinkel Aug 18, 2020

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my intention for cmd is that it should accept str or list of str because subprocess.Popen accepts str (if shell=True) or list of str (if shell=False)

But that's not what's happening in run_command currently. There's no logic to optionally set the shell=True parameter for Popen and it will always be acting on a list of arguments anyway based on the previous and proposed versions of run_command because if cmd comes in as a string, you turn it into a list of arguments.

  1. If you truly want run_command to dynamically either execute cmd as a string or cmd as a list of arguments then if isinstance(cmd, str): is true you should apply shell=True as a parameter to the Popen call.
  2. However, if you want to continue to break cmd into arguments then you should use shlex.split rather than str.split.

Either solution (1) or (2) will achieve:

...By accepting both types, user of this function does not need to care about the internal implementation.

A few other things...

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According to your comments and the document of subprocess, I plan to change the implementation as follows. I really appreciate your comments and suggestions on this, thanks.

  • use subprocess.run() instead of subprocess.Popen()
  • assume only list[str] for cmd to leverage functionality (quoting, etc.) of subprocess.run()
  • delegate error handling to subprocess.run(), and use subprocess.CalledProcessError instead of custom exception class CommandExecutionError
    • to do so, externalize the masking feature to another function
  • other changes (accept further parameters and return stderr in addition to stdout for future use)
def mask_secrets(text, secrets):
    """
    Replace secret words in a text with `***`.

    :param str text: a string which may contain secret words.
    :param list[str] secrets: secret word list.
    :returns: masked text.
    """
    for s in secrets:
        text = text.replace(s, '***')
    return text


def run_command(cmd, input_text=None, timeout=None):
    """
    Execute system command.

    This is a wrapper for `subprocess.run()`.

    Example 1: `run_command(['echo', '-n', 'hello'])` returns `('hello','')`.

    Example 2: `run_command(['cat'], input='hello')` returns `('hello','')`.

    Use `subprocess.run()` if other complicated parameters (e.g., encoding)
    should be specified.

    :param list[str] cmd: command line arguments
    :param str input_text: text for standard input of command
    :param int timeout: timeout for command in seconds
    :raises subprocess.CalledProcessError: if the command finishes with
                                           non-zero returncode.
    :raises subprocess.TimeoutExpires: if timeout expires.
    :raises TypeError: if some of `cmd` element is not a `str`.
    :raises IndexError: if length of `cmd` is zero.
    :returns: a tuple of standard output and standard error of the command.
    """
    cp = subprocess.run(
        cmd,
        input=input_text,
        text=True,
        timeout=timeout,
        stdout=subprocess.PIPE,
        stderr=subprocess.PIPE,
        check=True,
        shell=False
    )
    return cp.stdout, cp.stderr

if p.returncode != 0:
secrets = secrets or []
for s in secrets:
cmd = cmd.replace(s, '***')
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I don't think this is right. After you split it, cmd will be a list which does not have a replace function. Did you test this? There should be a unit test here for any code that isn't a fetcher or a check like evidence and common utilities.


* Class: [ClusterListFetcher][fetch-cluster-list]
* Purpose: Write the list of IBM Cloud clusters to the evidence locker.
* Behavior: Log in to IBM Cloud using `ibmcloud login` command, and save the result of `ibmcloud cs cluster ls` command.
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This really isn't the behavior content we're looking for. You shouldn't explicitly state the command that's getting executed because we'll have update this README anytime any sort of change to the command happens. We may also in the future move away from the command and towards using the API if/when it stabilizes but the behavior of the fetcher would remain the same. I think something that communicates the behavior in a more broad (generic) way would be better.

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I've changed the description into more abstract expression.
89f20fd#diff-fa9c900ac18eaea9441dab042c0ad0c9

Behavior: Log in to IBM Cloud and save the list of clusters bound with specified account.

"""Fetch IBM Cloud cluster list."""
for account in self.config.get(
'org.ibm_cloud.cluster_list.config.account'):
return json.dumps({account: self._get_cluster_list(account)})
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This doesn't make sense. You're issuing a return statement inside the for loop so the loop will only execute one time no matter how many accounts you've specified. Did you test this?

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I added multi-account test and fixed this issue. Thank you for pointing out this.

def _get_cluster_list(self, account):

# get credential for the account
api_key = getattr(self.config.creds['ibm_cloud'], account + '_api_key')
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use f-strings whenever possible.

        api_key = getattr(self.config.creds['ibm_cloud'], f'{account}_api_key')

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I fixed here and another in arboretum/kubernetes/fetchers/fetch_cluster_resource.py.

api_key = getattr(
self.config.creds['ibm_cloud'], f'{account}_api_key'
)

try:
cluster_list = run_command(cmd)
except CommandExecutionError as e:
if e.returncode == 2: # "2" means no plugin error
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Are you certain that "2" always means a no plugin error and are you certain that the returncode will be an integer? BTW this is where you can construct the logger you had in your setUpClass.

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If the return code is indeed an integer then your comment of # "2"... is a bit confusing. Perhaps # RC: 2 == no plugin might be clearer to future selves.

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thank you for your suggestion I applied this to two files.

if e.returncode == 2: # RC: 2 == no plugin
logger.warning(
'Kubernetes service plugin missing. '
'Attempting to install plugin...'
)

if e.returncode == 2: # RC: 2 == no plugin
self.logger.warning(
'Kubernetes service plugin missing. '
'Attempting to install plugin...'

arboretum/ibm_cloud/fetchers/fetch_cluster_list.py Outdated Show resolved Hide resolved
run_command('ibmcloud plugin install kubernetes-service')
cluster_list = run_command(cmd)
else:
raise e
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just raise should suffice.

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thanks, fixed two lines (same block as #15 (comment))

@alfinkel
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One other point... I think you should perform a logout (as well as a login) from ibmcloud for each account you process.

@tmishina
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tmishina commented Aug 25, 2020

@alfinkel I investigated steps to fetch resources from an IBM Cloud cluster using its REST API. Does this make sense?


Get access token and refresh token using API key

https://cloud.ibm.com/apidocs/iam-identity-token-api

$ export APIKEY=xxxxx
$ curl -X POST -u 'bx:bx' 'https://iam.cloud.ibm.com/identity/token' -H 'Content-Type: application/x-www-form-urlencoded' -d "grant_type=urn:ibm:params:oauth:grant-type:apikey&apikey=${APIKEY}"

returns:

{
  "access_token": "eyJ...",
  "refresh_token": "OKDMQ...",
  "ims_user_id": 0000000,
  "token_type": "Bearer",
  "expires_in": 3600,
  "expiration": 1598322312,
  "scope": "ibm openid"
}
$ export TOKEN="Bearer eyJ..."
$ export REFRESH_TOKEN="OKDMQ..."

Get cluster list

https://cloud.ibm.com/apidocs/kubernetes#getclusters

$ curl -H "Authorization: Bearer ${TOKEN}" https://containers.cloud.ibm.com/global/v1/clusters

returns:

[
  {
    "id": "bpfn...",
    "serverURL": "https://serverurl:9999",
    "type": "kubernetes",
    ...
  },
  ...
]
$ export CLUSTER_ID="bpfn...."
$ export MASTER_URL="https://serverurl:9999"

(for IKS clusters only) Get token for cluster

https://cloud.ibm.com/apidocs/kubernetes#getclusterconfig

$ curl -v -H "Authorization: ${TOKEN}" -H "X-Auth-Refresh-Token: ${REFRESH_TOKEN}" https://containers.cloud.ibm.com/global/v1/clusters/${CLUSTER_ID}/config > config.zip

config.zip contains a directory kubeConfig000000000, which includes a cert file and a kubeconfig file.

$ ls
serverurl.pem   kube-config-servername.yml

extracting the bearer token for the cluster.

$ export KUBE_TOKEN="Bearer $(cat kubeConfig000000000/kube-config-servername.yml | yq -r '.users[0].user."auth-provider".config."id-token"')"
eyJr...

(note: yq is a wrapper for yaml files to pass it to jq command)

(for OpenShift clusters only) Get token for cluster

https://cloud.ibm.com/docs/openshift?topic=openshift-access_cluster

$ curl "${MASTER_URL}/.well-known/oauth-authorization-server" | jq -r .token_endpoint
https://oauthserver/oauth/token
$ export OAUTH_SERVER="oauthserver"
$ curl -vvv -u "apikey:${APIKEY}" -H "X-CSRF-Token: a" "https://${OAUTH_SERVER}/oauth/authorize?client_id=openshift-challenging-client&response_type=token"
*   Trying 169.61.228.138...
...
< Location: https://oauthserver/oauth/token/implicit#access_token=9YoE...&expires_in=86400&scope=user%3Afull&token_type=Bearer
...

access_token=9YoE.... is the token for OpenShift kubernetes server.

$ export KUBE_TOKEN="Bearer 9YoE..."

Get resource of a cluster

For example, Pods can be retrieved by:

curl -k -H "Authorization: ${KUBE_TOKEN}"  "${MASTER_URL}/api/v1/pods"

The option -k in only required for an OpenShift cluster.

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alfinkel commented Aug 25, 2020

You're going to use Python requests rather than curl right?

FYI, the fetcher base class has a session method that wraps requests.Session. You should use that.

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@alfinkel I pushed draft code which uses IBM Cloud API instead of ibmcloud command.
In my understanding, I don't need to use the session method because all of the IBM Cloud APIs support bearer token authentication and are not stateful. Am I correct?

@alfinkel @drsm79 I have two concerns about externalizing common functions regarding IBM Cloud APIs. I created a utility function file.

  1. Does the position and name of the directory (arboretum/ibm_cloud/util) align with the standard of arboretum?
  2. iam.py is used by both ibm_cloud category code and kubernetes category code. This usage deviates from the architecture described in new feature: cluster list/resource fetcher #9, but from the view point of reducing duplicated code it would be reasonable. Is it better to write a distinct IAM token retrieval code for kubernetes category?

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You can put iam.py in https://github.com/ComplianceAsCode/auditree-arboretum/tree/main/arboretum/common.

@alfinkel
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I guess there's still the benefit that you won't need to explicitly set the token for every call as it will be part of the session headers upon construction of the session object.

@tmishina
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@alfinkel OK, from your comment and the document of requests I realized that using Session not just eliminates header setting lines of code but also accelerates a series of connections to IBM Cloud API endpoint by its connection pooling feature. I will update the code to use Session.

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drsm79 commented Aug 26, 2020

2. `iam.py` is used by both [ibm_cloud category code](https://github.com/ComplianceAsCode/auditree-arboretum/pull/15/files#diff-7969aa7ffd65df2f33a3f39d268c4221) and [kubernetes category code](https://github.com/ComplianceAsCode/auditree-arboretum/pull/15/files#diff-48869a03910283a18790752e17f94de5).  This usage deviates from the architecture described in #9, but from the view point of reducing duplicated code it would be reasonable.  Is it better to write a distinct IAM token retrieval code for `kubernetes` category?

I think we should approach this like the "plugins" for kube, since GCP, AWS, Azure... will have their own iam implementations. So, I disagree with:

You can put iam.py in https://github.com/ComplianceAsCode/auditree-arboretum/tree/main/arboretum/common.

Unless it's named something like iam_ibm.py or similar.

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tmishina commented Aug 27, 2020

@alfinkel currently two fetchers use ComplianceFetcher.session(). However, I use raw requests.session at fetching IBM Cloud cluster resource because ComplianceFetcher.session() does not support renewal of session.
(the fetcher connects to two or more servers at once - IBM Cloud API and each cluster (cluster["serverURL"]))

Is there a way to renew ComplianceFetcher.session()? according to the source, it look that session renewal is unavailable.

@drsm79 refactored.

  • arboretum/ibm_cloud/util/iam.py was moved to arboretum/common/iam_ibm.py
  • now fetch_cluster_resource_.py is pluggable. if a developer want to support a new type of cluster (say mycsp), the developer can add a new file fetch_cluster_resource_mycsp.py which contains a function fetch_cluster_resource(). fetch_cluster_resource calls the fucntion by using importlib. fetch_cluster_resource_ibm_cloud.py can be an example of the plugin for fetch_cluster_resource.

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alfinkel commented Aug 27, 2020

... currently two fetchers use ComplianceFetcher.session(). However, I use raw requests.session at fetching IBM Cloud cluster resource because ComplianceFetcher.session() does not support renewal of session.
(the fetcher connects to two or more servers at once - IBM Cloud API and each cluster (cluster["serverURL"]))

Is there a way to renew ComplianceFetcher.session()? according to the source, it look that session renewal is unavailable.

I'll add a fix shortly to the ComplianceFetcher.session().

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I'm confused as to what you're trying to achieve with the cluster resource "fetcher" work. Can you explain why you're dynamically loading another module mid fetch and why that module while containing "fetch_" methods doesn't contain a fetch class?

I think we may be at a point where you should split this PR up into two PRs. One PR for fetching the cluster list and one PR for the cluster resource as it seems like this review is starting to go a bit sideways.

Comment on lines +56 to +80
module_name = (
'arboretum.kubernetes.fetchers.'
f'fetch_cluster_resource_{cltype}'
)
function_name = 'fetch_cluster_resource'
try:
module = import_module(module_name)
except ModuleNotFoundError:
self.logger.error(
'Failed to load plugin for cluster type "%s": %s',
cltype,
module_name
)
raise
try:
fetcher = getattr(module, function_name)
except AttributeError:
self.logger.error(
'Failed to load expected funtion "%s" '
'in module "%s"',
function_name,
module_name
)
raise
resources[cltype] = fetcher(self)
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I know that I said that I wouldn't look at the cluster resource fetcher until the cluster list was done but what is happening here? Dynamic loading of modules doesn't seem right.

@@ -0,0 +1,159 @@
"""Feching cluster resouce from IBM Cloud."""
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..and what's the story here? This doesn't even include a fetcher class.

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ComplianceAsCode/auditree-framework#57 allows for the fetcher session object to be reset. Once merged auditree-framework v1.2.6 will have the change.

@tmishina
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tmishina commented Aug 28, 2020

@alfinkel thank you for your suggestion, then shall we split this PR (to be closed) into two PRs?

I have created a new branch 9-cluster-list-fetcher (comparison with main) which only contains cluster list fetchers and iam_ibm.py. I will create a new PR for this branch. In my understanding, we are now on the same page about the cluster list fetchers, and the PR can be merged shortly after some administrative operations (e.g., rebase main, bump version).

When the new PR is merged, I will create another PR for branch 9-cluster-resource-fetcher, which also contains fetch_cluster_resource.py. Let's continue discussions about the cluster resource fetcher such as usage of session and plugin capability in the second new PR.

@drsm79 Please tell me if you have any preference about this change, thanks!

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drsm79 commented Aug 28, 2020

Re. the plugins - wouldn't doing this via different fetchers (which maybe share a base class) suffice? It does mean that people would need to configure multiple fetchers (kube fetcher, openshift fetcher etc..) but I think it's more extensible, and gives us the "plugin" behaviour in a more "native" manner.

@alfinkel
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alfinkel commented Aug 28, 2020

In my understanding, we are now on the same page about the cluster list fetchers, and the PR can be merged shortly after some administrative operations (e.g., rebase main, bump version).

Maybe? We'll see once you've submitted the new PR whether we're just some administrative operations away from an approval. BTW, I'm hoping that your new PR will already be rebased and squashed. As far as the version goes, you don't need to bump it because an auto release is not being performed but you should add an update to the CHANGES.md detailing your changes under an # UNRELEASED heading.

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@alfinkel I created a new PR, which includes the cluster list fetcher part of this PR.
The branch of new PR is rebased to current main branch. Let's move on to the new PR (#25).

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