How to use the kubernetes.client.ApiClient function in kubernetes

To help you get started, we’ve selected a few kubernetes examples, based on popular ways it is used in public projects.

Secure your code as it's written. Use Snyk Code to scan source code in minutes - no build needed - and fix issues immediately.

github kubeflow / tf-operator / py / test_invalid_job.py View on Github external
def run_test(args, test_case):  # pylint: disable=too-many-branches,too-many-statements
  """Run a test."""
  util.load_kube_config()

  api_client = k8s_client.ApiClient()

  t = test_util.TestCase()
  t.class_name = "tfjob_test"
  namespace, name, env = ks_util.setup_ks_app(args)
  t.name = os.path.basename(name)

  try: # pylint: disable=too-many-nested-blocks
    util.run(["ks", "apply", env, "-c", args.component], cwd=args.app_dir)

    logging.info("Created job %s in namespaces %s", name, namespace)

    logging.info("Wait for conditions Failed")
    results = tf_job_client.wait_for_condition(
      api_client, namespace, name, ["Succeeded", "Failed"],
      status_callback=tf_job_client.log_status)
github kubeflow / tf-operator / py / kubeflow / tf_operator / simple_tfjob_tests.py View on Github external
def run_simple_tfjob(self, component):
    api_client = k8s_client.ApiClient()

    # Setup the ksonnet app
    ks_util.setup_ks_app(self.app_dir, self.env, self.namespace, component,
                         self.params)

    # Create the TF job
    ks_cmd = ks_util.get_ksonnet_cmd(self.app_dir)
    util.run([ks_cmd, "apply", self.env, "-c", component], cwd=self.app_dir)
    logging.info("Created job %s in namespaces %s", self.name, self.namespace)

    # Wait for the job to either be in Running state or a terminal state
    logging.info("Wait for conditions Running, Succeeded, or Failed")
    results = tf_job_client.wait_for_condition(
      api_client,
      self.namespace,
      self.name, ["Running", "Succeeded", "Failed"],
github kubeflow / kubeflow / testing / test_deploy.py View on Github external
def create_k8s_client(_):
  # We need to load the kube config so that we can have credentials to
  # talk to the APIServer.
  util.load_kube_config(persist_config=False)

  # Create an API client object to talk to the K8s master.
  api_client = k8s_client.ApiClient()

  return api_client
github Tencent / bk-bcs-saas / bcs-app / backend / components / bcs / k8s.py View on Github external
def k8s_raw_client(self):
        configure = client.Configuration()
        configure.verify_ssl = False
        configure.host = f"{self._bcs_server_host}{self.context['server_address_path']}".rstrip('/')
        configure.api_key = {"authorization": f"Bearer {self.context['user_token']}"}
        api_client = client.ApiClient(configure)
        return api_client
github torchbox / kdtool / kubeutil.py View on Github external
def get_client():
    client = kubernetes.client.ApiClient(config=config)
    return client
github intel / CPU-Manager-for-Kubernetes / intel / k8s.py View on Github external
def admissionregistartion_api_client_from_config(config):
    if config is None:
        k8sconfig.load_incluster_config()
        return k8sclient.AdmissionregistrationV1beta1Api()
    else:
        client = k8sclient.ApiClient(configuration=config)
        return k8sclient.AdmissionregistrationV1beta1Api(api_client=client)
github GoogleCloudPlatform / django-cloud-deploy / django_cloud_deploy / workflow / _deploygke.py View on Github external
def _wait_for_deployment_ready(
            self, kube_config: kubernetes.client.Configuration, app_name: str):
        """Wait for the deployment of Django app to get ready.

        Args:
            kube_config: A kubernetes configuration which has access to the
                given cluster.
            app_name: Name of the Django app.
        """

        api_client = kubernetes.client.ApiClient(kube_config)
        api = kubernetes.client.ExtensionsV1beta1Api(api_client)
        label_selector = '='.join(['app', app_name])
        self._try_get_ready_replicas(api, label_selector)
github ansible / ansible-kubernetes-modules / lookup_plugins / k8s.py View on Github external
if self.params.get('username') and self.params.get('password') and self.params.get('host'):
            auth_method = 'self.params'
        elif self.params.get('api_key') and self.params.get('host'):
            auth_method = 'self.params'
        elif self.params.get('kubeconfig') or self.params.get('context'):
            auth_method = 'file'
        else:
            auth_method = 'default'

        # First try to do incluster config, then kubeconfig
        # TODO: Re-evaluate at some point (can be hard to force file)
        if auth_method == 'default':
            try:
                kubernetes.config.load_incluster_config()
                return DynamicClient(kubernetes.client.ApiClient())
            except kubernetes.config.ConfigException:
                return DynamicClient(self.client_from_kubeconfig(self.params.get('kubeconfig'), self.params.get('context')))

        if auth_method == 'file':
            return DynamicClient(self.client_from_kubeconfig(self.params.get('kubeconfig'), self.params.get('context')))

        if auth_method == 'params':
            return DynamicClient(kubernetes.client.ApiClient(configuration))
github IntelAI / inference-model-manager / management / management_api / utils / kubernetes_resources.py View on Github external
def get_simple_client(id_token):
    api_client = client.ApiClient(get_k8s_configuration())
    api_client.set_default_header("Authorization", "Bearer " + id_token)
    return api_client