Python config.load_incluster_config方法代碼示例

# 需要導入模塊: from kubernetes import config [as 別名]
# 或者: from kubernetes.config import load_incluster_config [as 別名]
def __init__(self, k8s_config=None, k8s_namespace=None, label_selector=None):
        from kubernetes import config, client
        from gevent.threadpool import ThreadPool

        if k8s_config is not None:
            self._k8s_config = k8s_config
        elif os.environ.get('KUBE_API_ADDRESS'):
            self._k8s_config = client.Configuration()
            self._k8s_config.host = os.environ['KUBE_API_ADDRESS']
        else:
            self._k8s_config = config.load_incluster_config()

        self._k8s_namespace = k8s_namespace or os.environ.get('MARS_K8S_POD_NAMESPACE') or 'default'
        self._label_selector = label_selector
        self._client = client.CoreV1Api(client.ApiClient(self._k8s_config))
        self._pool = ThreadPool(1)

        self._pod_to_ep = None 

# 需要導入模塊: from kubernetes import config [as 別名]
# 或者: from kubernetes.config import load_incluster_config [as 別名]
def get_k8s_nodes(exclude_node_label_key=app_config["EXCLUDE_NODE_LABEL_KEY"]):
    """
    Returns a list of kubernetes nodes
    """

    try:
        config.load_incluster_config()
    except config.ConfigException:
        try:
            config.load_kube_config()
        except config.ConfigException:
            raise Exception("Could not configure kubernetes python client")

    k8s_api = client.CoreV1Api()
    logger.info("Getting k8s nodes...")
    response = k8s_api.list_node()
    if exclude_node_label_key is not None:
        nodes = []
        for node in response.items:
            if exclude_node_label_key not in node.metadata.labels:
                nodes.append(node)
        response.items = nodes
    logger.info("Current k8s node count is {}".format(len(response.items)))
    return response.items 

# 需要導入模塊: from kubernetes import config [as 別名]
# 或者: from kubernetes.config import load_incluster_config [as 別名]
def delete_node(node_name):
    """
    Deletes a kubernetes node from the cluster
    """

    try:
        config.load_incluster_config()
    except config.ConfigException:
        try:
            config.load_kube_config()
        except config.ConfigException:
            raise Exception("Could not configure kubernetes python client")

    configuration = client.Configuration()
    # create an instance of the API class
    k8s_api = client.CoreV1Api(client.ApiClient(configuration))
    logger.info("Deleting k8s node {}...".format(node_name))
    try:
        if not app_config['DRY_RUN']:
            k8s_api.delete_node(node_name)
        else:
            k8s_api.delete_node(node_name, dry_run="true")
        logger.info("Node deleted")
    except ApiException as e:
        logger.info("Exception when calling CoreV1Api->delete_node: {}".format(e)) 

# 需要導入模塊: from kubernetes import config [as 別名]
# 或者: from kubernetes.config import load_incluster_config [as 別名]
def __init__(self, *args, **kwargs):
        super().__init__(*args, **kwargs)
        # Load kubernetes config here, since this is a Singleton and
        # so this __init__ will be run way before anything else gets run.
        try:
            config.load_incluster_config()
        except config.ConfigException:
            config.load_kube_config()
        self.api = shared_client(self.api_group_name)

        # FIXME: Protect against malicious labels?
        self.label_selector = ','.join(['{}={}'.format(k, v) for k, v in self.labels.items()])
        self.field_selector = ','.join(['{}={}'.format(k, v) for k, v in self.fields.items()])

        self.first_load_future = Future()
        self._stop_event = threading.Event()

        self.start() 

# 需要導入模塊: from kubernetes import config [as 別名]
# 或者: from kubernetes.config import load_incluster_config [as 別名]
def get_conn(self):
        """
        Returns kubernetes api session for use with requests
        """
        connection = self.get_connection(self.conn_id)
        extras = connection.extra_dejson
        if extras.get("extra__kubernetes__in_cluster"):
            self.log.debug("loading kube_config from: in_cluster configuration")
            config.load_incluster_config()
        elif extras.get("extra__kubernetes__kube_config") is None:
            self.log.debug("loading kube_config from: default file")
            config.load_kube_config()
        else:
            with tempfile.NamedTemporaryFile() as temp_config:
                self.log.debug("loading kube_config from: connection kube_config")
                temp_config.write(extras.get("extra__kubernetes__kube_config").encode())
                temp_config.flush()
                config.load_kube_config(temp_config.name)
        return client.ApiClient() 

# 需要導入模塊: from kubernetes import config [as 別名]
# 或者: from kubernetes.config import load_incluster_config [as 別名]
def _configure_k8s(self):
    k8s_config_file = os.environ.get('KUBECONFIG')
    if k8s_config_file:
      try:
        logging.info('Loading kubernetes config from the file %s', k8s_config_file)
        config.load_kube_config(config_file=k8s_config_file)
      except Exception as e:
        raise RuntimeError('Can not load kube config from the file %s, error: %s', k8s_config_file, e)
    else:
      try:
        config.load_incluster_config()
        logging.info('Initialized with in-cluster config.')
      except:
        logging.info('Cannot find in-cluster config, trying the local kubernetes config. ')
        try:
          config.load_kube_config()
          logging.info('Found local kubernetes config. Initialized with kube_config.')
        except:
          raise RuntimeError('Forgot to run the gcloud command? Check out the link: \
          https://cloud.google.com/kubernetes-engine/docs/how-to/cluster-access-for-kubectl for more information')
    self._api_client = k8s_client.ApiClient()
    self._corev1 = k8s_client.CoreV1Api(self._api_client)
    return True 

# 需要導入模塊: from kubernetes import config [as 別名]
# 或者: from kubernetes.config import load_incluster_config [as 別名]
def _load_kfp_environment(self):
        self._pod_name = os.environ.get(KFP_POD_ENV_NAME, None)
        self._namespace = os.environ.get(KFP_NAMESPACE_ENV_NAME, DEFAULT_NAMESPACE)
        if not self._pod_name:
            self._k8s_client = None
        else:
            try:
                config.load_incluster_config()
                self._k8s_client = client.CoreV1Api()
            except Exception as e:
                logging.warning('Failed to load kubernetes client:'
                    ' {}.'.format(e))
                self._k8s_client = None
        if self._pod_name and self._k8s_client:
            self._argo_node_name = self._get_argo_node_name()

        if not self.under_kfp_environment():
            logging.warning('Running without KFP context.') 

# 需要導入模塊: from kubernetes import config [as 別名]
# 或者: from kubernetes.config import load_incluster_config [as 別名]
def __init__(self, k8s_config=None, namespace="default", in_cluster=False):
        if not k8s_config:
            if in_cluster:
                config.load_incluster_config()
            else:
                config.load_kube_config()
            self.api_client = None
        else:
            self.api_client = client.api_client.ApiClient(configuration=k8s_config)

        self._k8s_api = None
        self._k8s_batch_api = None
        self._k8s_apps_api = None
        self._k8s_beta_api = None
        self._networking_v1_beta1_api = None
        self._k8s_custom_object_api = None
        self._k8s_version_api = None
        self.namespace = namespace
        self.in_cluster = in_cluster 

# 需要導入模塊: from kubernetes import config [as 別名]
# 或者: from kubernetes.config import load_incluster_config [as 別名]
def modify_k8s_autoscaler(action):
    """
    Pauses or resumes the Kubernetes autoscaler
    """

    try:
        config.load_incluster_config()
    except config.ConfigException:
        try:
            config.load_kube_config()
        except config.ConfigException:
            raise Exception("Could not configure kubernetes python client")

    # Configure API key authorization: BearerToken
    configuration = client.Configuration()
    # create an instance of the API class
    k8s_api = client.AppsV1Api(client.ApiClient(configuration))
    if action == 'pause':
        logger.info('Pausing k8s autoscaler...')
        body = {'spec': {'replicas': 0}}
    elif action == 'resume':
        logger.info('Resuming k8s autoscaler...')
        body = {'spec': {'replicas': app_config['K8S_AUTOSCALER_REPLICAS']}}
    else:
        logger.info('Invalid k8s autoscaler option')
        sys.exit(1)
    try:
        k8s_api.patch_namespaced_deployment(
            app_config['K8S_AUTOSCALER_DEPLOYMENT'],
            app_config['K8S_AUTOSCALER_NAMESPACE'],
            body
        )
        logger.info('K8s autoscaler modified to replicas: {}'.format(body['spec']['replicas']))
    except ApiException as e:
        logger.info('Scaling of k8s autoscaler failed. Error code was {}, {}. Exiting.'.format(e.reason, e.body))
        sys.exit(1) 

# 需要導入模塊: from kubernetes import config [as 別名]
# 或者: from kubernetes.config import load_incluster_config [as 別名]
def cordon_node(node_name):
    """
    Cordon a kubernetes node to avoid new pods being scheduled on it
    """

    try:
        config.load_incluster_config()
    except config.ConfigException:
        try:
            config.load_kube_config()
        except config.ConfigException:
            raise Exception("Could not configure kubernetes python client")

    configuration = client.Configuration()
    # create an instance of the API class
    k8s_api = client.CoreV1Api(client.ApiClient(configuration))
    logger.info("Cordoning k8s node {}...".format(node_name))
    try:
        api_call_body = client.V1Node(spec=client.V1NodeSpec(unschedulable=True))
        if not app_config['DRY_RUN']:
            k8s_api.patch_node(node_name, api_call_body)
        else:
            k8s_api.patch_node(node_name, api_call_body, dry_run=True)
        logger.info("Node cordoned")
    except ApiException as e:
        logger.info("Exception when calling CoreV1Api->patch_node: {}".format(e)) 

# 需要導入模塊: from kubernetes import config [as 別名]
# 或者: from kubernetes.config import load_incluster_config [as 別名]
def _get_kube_config(in_cluster: bool,
                         cluster_context: Optional[str],
                         config_file: Optional[str]) -> Optional[Configuration]:
        if in_cluster:
            # load_incluster_config set default configuration with config populated by k8s
            config.load_incluster_config()
            return None
        else:
            # this block can be replaced with just config.load_kube_config once
            # refresh_config module is replaced with upstream fix
            cfg = RefreshConfiguration()
            load_kube_config(
                client_configuration=cfg, config_file=config_file, context=cluster_context)
            return cfg 

# 需要導入模塊: from kubernetes import config [as 別名]
# 或者: from kubernetes.config import load_incluster_config [as 別名]
def get_k8s_client():
    config.load_incluster_config()
    return client.CoreV1Api() 

# 需要導入模塊: from kubernetes import config [as 別名]
# 或者: from kubernetes.config import load_incluster_config [as 別名]
def __init__(self, bearer_token=None):
        '''
        Initialize connection to Kubernetes
        '''
        self.bearer_token = bearer_token
        api_client = None

        try:
            config.load_incluster_config()
        except config.config_exception.ConfigException:
            config.load_kube_config()

        if self.bearer_token:
            # Configure API key authorization: Bearer Token
            configuration = client.Configuration()
            configuration.api_key_prefix['authorization'] = 'Bearer'
            configuration.api_key['authorization'] = self.bearer_token
            api_client = client.ApiClient(configuration)

        self.client = client.CoreV1Api(api_client)
        self.batch_api = client.BatchV1Api(api_client)
        self.batch_v1beta1_api = client.BatchV1beta1Api(api_client)
        self.custom_objects = client.CustomObjectsApi(api_client)
        self.api_extensions = client.ApiextensionsV1beta1Api(api_client)
        self.extension_api = client.ExtensionsV1beta1Api(api_client)
        self.apps_v1_api = client.AppsV1Api(api_client) 

# 需要導入模塊: from kubernetes import config [as 別名]
# 或者: from kubernetes.config import load_incluster_config [as 別名]
def log_k8s_event(self, asg_name, price="", useSpot=False):
        msg_str = '{"apiVersion":"v1alpha1","spotPrice":"' + price + '", "useSpot": ' + str(useSpot).lower() + '}'
        event_namespace = os.getenv('EVENT_NAMESPACE', 'default')
        if not self.incluster:
            logger.info(msg_str)
            return

        try:
            config.load_incluster_config()
            v1 = client.CoreV1Api()
            event_timestamp = datetime.now(pytz.utc)
            event_name = "spot-instance-update"
            new_event = client.V1Event(
                count=1,
                first_timestamp=event_timestamp,
                involved_object=client.V1ObjectReference(
                    kind="SpotPriceInfo",
                    name=asg_name,
                    namespace=event_namespace,
                ),
                last_timestamp=event_timestamp,
                metadata=client.V1ObjectMeta(
                    generate_name=event_name,
                ),
                message=msg_str,
                reason="SpotRecommendationGiven",
                source=client.V1EventSource(
                    component="minion-manager",
                ),
                type="Normal",
            )

            v1.create_namespaced_event(namespace=event_namespace, body=new_event)
            logger.info("Spot price info event logged")
        except Exception as e:
            logger.info("Failed to log event: " + str(e)) 

# 需要導入模塊: from kubernetes import config [as 別名]
# 或者: from kubernetes.config import load_incluster_config [as 別名]
def get_name_for_instance(self, instance):
        config.load_incluster_config()
        v1 = client.CoreV1Api()
        for item in v1.list_node().items:
            if instance.InstanceId in item.spec.provider_id:
                logger.info("Instance name for %s in Kubernetes clusters is %s",
                    instance.InstanceId, item.metadata.name)
                return item.metadata.name
        return None