Python client.V1PodTemplateSpec方法代码示例

# 需要导入模块: from kubernetes import client [as 别名]
# 或者: from kubernetes.client import V1PodTemplateSpec [as 别名]
def create_job_manifest(envs, commands, name, image, template_file):
    if template_file is not None:
        with open( template_file ) as f:
            job=yaml.safe_load(f)
            job["metadata"]["name"]=name
            job["spec"]["template"]["metadata"]["labels"]["app"]=name
            job["spec"]["template"]["spec"]["containers"][0]["image"]=image
            job["spec"]["template"]["spec"]["containers"][0]["command"]=commands
            job["spec"]["template"]["spec"]["containers"][0]["name"]=name
            job["spec"]["template"]["spec"]["containers"][0]["env"]=envs
            job["spec"]["template"]["spec"]["containers"][0]["command"]=commands
    else:
        container=client.V1Container(image=image, command=commands, name=name, env=envs)
        pod_temp=client.V1PodTemplateSpec(
                spec=client.V1PodSpec(restart_policy="OnFailure", containers=[container]),
                metadata=client.V1ObjectMeta(name=name, labels={"app":name})
                )
        job=client.V1Job(
                api_version="batch/v1",
                kind="Job",
                spec=client.V1JobSpec(template=pod_temp),
                metadata=client.V1ObjectMeta(name=name)
                )
    return job 

# 需要导入模块: from kubernetes import client [as 别名]
# 或者: from kubernetes.client import V1PodTemplateSpec [as 别名]
def create_job_object():
    # Configureate Pod template container
    container = client.V1Container(
        name="pi",
        image="perl",
        command=["perl", "-Mbignum=bpi", "-wle", "print bpi(2000)"])
    # Create and configurate a spec section
    template = client.V1PodTemplateSpec(
        metadata=client.V1ObjectMeta(labels={"app": "pi"}),
        spec=client.V1PodSpec(restart_policy="Never", containers=[container]))
    # Create the specification of deployment
    spec = client.V1JobSpec(
        template=template,
        backoff_limit=4)
    # Instantiate the job object
    job = client.V1Job(
        api_version="batch/v1",
        kind="Job",
        metadata=client.V1ObjectMeta(name=JOB_NAME),
        spec=spec)

    return job 

# 需要导入模块: from kubernetes import client [as 别名]
# 或者: from kubernetes.client import V1PodTemplateSpec [as 别名]
def test_sanitize_for_config_hash(self):
        with mock.patch(
            "paasta_tools.kubernetes_tools.get_kubernetes_secret_hashes", autospec=True
        ) as mock_get_kubernetes_secret_hashes:
            mock_config = V1Deployment(
                metadata=V1ObjectMeta(name="qwe", labels={"mc": "grindah"}),
                spec=V1DeploymentSpec(
                    replicas=2,
                    selector=V1LabelSelector(match_labels={"freq": "108.9"}),
                    template=V1PodTemplateSpec(),
                ),
            )
            ret = self.deployment.sanitize_for_config_hash(mock_config)
            assert "replicas" not in ret["spec"].keys()
            assert (
                ret["paasta_secrets"] == mock_get_kubernetes_secret_hashes.return_value
            ) 

# 需要导入模块: from kubernetes import client [as 别名]
# 或者: from kubernetes.client import V1PodTemplateSpec [as 别名]
def create_deployment(apps_v1_api):
    container = client.V1Container(
        name="deployment",
        image="gcr.io/google-appengine/fluentd-logger",
        image_pull_policy="Never",
        ports=[client.V1ContainerPort(container_port=5678)],
    )
    # Template
    template = client.V1PodTemplateSpec(
        metadata=client.V1ObjectMeta(labels={"app": "deployment"}),
        spec=client.V1PodSpec(containers=[container]))
    # Spec
    spec = client.V1DeploymentSpec(
        replicas=1,
        template=template)
    # Deployment
    deployment = client.V1Deployment(
        api_version="apps/v1",
        kind="Deployment",
        metadata=client.V1ObjectMeta(name="deployment"),
        spec=spec)
    # Creation of the Deployment in specified namespace
    # (Can replace "default" with a namespace you may have created)
    apps_v1_api.create_namespaced_deployment(
        namespace="default", body=deployment
    ) 

# 需要导入模块: from kubernetes import client [as 别名]
# 或者: from kubernetes.client import V1PodTemplateSpec [as 别名]
def create_deployment_object():
    # Configureate Pod template container
    container = client.V1Container(
        name="nginx",
        image="nginx:1.15.4",
        ports=[client.V1ContainerPort(container_port=80)],
        resources=client.V1ResourceRequirements(
            requests={"cpu": "100m", "memory": "200Mi"},
            limits={"cpu": "500m", "memory": "500Mi"}
        )
    )
    # Create and configurate a spec section
    template = client.V1PodTemplateSpec(
        metadata=client.V1ObjectMeta(labels={"app": "nginx"}),
        spec=client.V1PodSpec(containers=[container]))
    # Create the specification of deployment
    spec = client.V1DeploymentSpec(
        replicas=3,
        template=template,
        selector={'matchLabels': {'app': 'nginx'}})
    # Instantiate the deployment object
    deployment = client.V1Deployment(
        api_version="apps/v1",
        kind="Deployment",
        metadata=client.V1ObjectMeta(name=DEPLOYMENT_NAME),
        spec=spec)

    return deployment 

# 需要导入模块: from kubernetes import client [as 别名]
# 或者: from kubernetes.client import V1PodTemplateSpec [as 别名]
def create_job_object(runner_image, region, s3_path, pvc_name):
  target_folder = get_target_folder(s3_path)

  # Configureate Pod template container
  container = k8s_client.V1Container(
      name="copy-dataset-worker",
      image=runner_image,
      command=["aws"],
      args=["s3", "sync", s3_path, "/mnt/" + target_folder],
      volume_mounts=[k8s_client.V1VolumeMount(name="data-storage", mount_path='/mnt')],
      env=[k8s_client.V1EnvVar(name="AWS_REGION", value=region),
        k8s_client.V1EnvVar(name="AWS_ACCESS_KEY_ID", value_from=k8s_client.V1EnvVarSource(secret_key_ref=k8s_client.V1SecretKeySelector(key="AWS_ACCESS_KEY_ID", name="aws-secret"))),
        k8s_client.V1EnvVar(name="AWS_SECRET_ACCESS_KEY", value_from=k8s_client.V1EnvVarSource(secret_key_ref=k8s_client.V1SecretKeySelector(key="AWS_SECRET_ACCESS_KEY", name="aws-secret")))
        ],
    )
  volume = k8s_client.V1Volume(
    name='data-storage',
    persistent_volume_claim=k8s_client.V1PersistentVolumeClaimVolumeSource(claim_name=pvc_name)
  )
  # Create and configurate a spec section
  template = k8s_client.V1PodTemplateSpec(
      # metadata=k8s_client.V1ObjectMeta(labels={"app":"copy-dataset-worker"}),
      spec=k8s_client.V1PodSpec(containers=[container], volumes=[volume], restart_policy="OnFailure"))
  # Create the specification of deployment
  spec = k8s_client.V1JobSpec(
      # selector=k8s_client.V1LabelSelector(match_labels={"app":"copy-dataset-worker"}),
      template=template)
  # Instantiate the deployment object
  deployment = k8s_client.V1Job(
      api_version="batch/v1",
      kind="Job",
      metadata=k8s_client.V1ObjectMeta(name=container.name),
      spec=spec)

  return deployment 

# 需要导入模块: from kubernetes import client [as 别名]
# 或者: from kubernetes.client import V1PodTemplateSpec [as 别名]
def deploy(self, image, name, ns, port, replicas=1, svc_type="NodePort", traffic_policy="Local", cluster_ip=None, ipv6=False):
        """
        Creates a deployment and corresponding service with the given
        parameters.
        """
        # Run a deployment with <replicas> copies of <image>, with the
        # pods labelled with "app": <name>.
        deployment = client.V1Deployment(
            api_version="apps/v1",
            kind="Deployment",
            metadata=client.V1ObjectMeta(name=name),
            spec=client.V1DeploymentSpec(
                replicas=replicas,
                selector={'matchLabels': {'app': name}},
                template=client.V1PodTemplateSpec(
                    metadata=client.V1ObjectMeta(labels={"app": name}),
                    spec=client.V1PodSpec(containers=[
                        client.V1Container(name=name,
                                           image=image,
                                           ports=[client.V1ContainerPort(container_port=port)]),
                    ]))))
        api_response = client.AppsV1Api().create_namespaced_deployment(
            body=deployment,
            namespace=ns)
        logger.debug("Deployment created. status='%s'" % str(api_response.status))

        # Create a service called <name> whose endpoints are the pods
        # with "app": <name>; i.e. those just created above.
        self.create_service(name, name, ns, port, svc_type, traffic_policy, ipv6=ipv6) 

# 需要导入模块: from kubernetes import client [as 别名]
# 或者: from kubernetes.client import V1PodTemplateSpec [as 别名]
def simple_deployment():
    """Return the Kubernetes config matching the simple-deployment.yaml manifest."""
    return client.V1Deployment(
        api_version='apps/v1',
        kind='Deployment',
        metadata=client.V1ObjectMeta(
            name='nginx-deployment',
            labels={
                'app': 'nginx'
            }
        ),
        spec=client.V1DeploymentSpec(
            replicas=3,
            selector=client.V1LabelSelector(
                match_labels={
                    'app': 'nginx'
                }
            ),
            template=client.V1PodTemplateSpec(
                metadata=client.V1ObjectMeta(
                    labels={
                        'app': 'nginx'
                    }
                ),
                spec=client.V1PodSpec(
                    containers=[
                        client.V1Container(
                            name='nginx',
                            image='nginx:1.7.9',
                            ports=[
                                client.V1ContainerPort(
                                    container_port=80
                                )
                            ]
                        )
                    ]
                )
            )
        )
    ) 

# 需要导入模块: from kubernetes import client [as 别名]
# 或者: from kubernetes.client import V1PodTemplateSpec [as 别名]
def simple_statefulset():
    """Return the Kubernetes config matching the simple-statefulset.yaml manifest."""
    return client.V1StatefulSet(
        api_version='apps/v1',
        kind='StatefulSet',
        metadata=client.V1ObjectMeta(
            name='postgres-statefulset',
            labels={
                'app': 'postgres'
            }
        ),
        spec=client.V1StatefulSetSpec(
            replicas=3,
            selector=client.V1LabelSelector(
                match_labels={
                    'app': 'postgres'
                }
            ),
            service_name='simple-service',
            template=client.V1PodTemplateSpec(
                metadata=client.V1ObjectMeta(
                    labels={
                        'app': 'postgres'
                    }
                ),
                spec=client.V1PodSpec(
                    containers=[
                        client.V1Container(
                            name='postgres',
                            image='postgres:9.6',
                            ports=[
                                client.V1ContainerPort(
                                    container_port=5432
                                )
                            ]
                        )
                    ]
                )
            )
        )
    ) 

# 需要导入模块: from kubernetes import client [as 别名]
# 或者: from kubernetes.client import V1PodTemplateSpec [as 别名]
def simple_daemonset():
    """Return the Kubernetes config matching the simple-daemonset.yaml manifest."""
    return client.V1DaemonSet(
        api_version='apps/v1',
        kind='DaemonSet',
        metadata=client.V1ObjectMeta(
            name='canal-daemonset',
            labels={
                'app': 'canal'
            }
        ),
        spec=client.V1DaemonSetSpec(
            selector=client.V1LabelSelector(
                match_labels={
                    'app': 'canal'
                }
            ),
            template=client.V1PodTemplateSpec(
                metadata=client.V1ObjectMeta(
                    labels={
                        'app': 'canal'
                    }
                ),
                spec=client.V1PodSpec(
                    containers=[
                        client.V1Container(
                            name='canal',
                            image='canal:3.7.2',
                            ports=[
                                client.V1ContainerPort(
                                    container_port=9099
                                )
                            ]
                        )
                    ]
                )
            )
        )
    ) 

# 需要导入模块: from kubernetes import client [as 别名]
# 或者: from kubernetes.client import V1PodTemplateSpec [as 别名]
def simple_replicaset():
    """Return the Kubernetes config matching the simple-replicaset.yaml manifest."""
    return client.V1ReplicaSet(
        api_version='apps/v1',
        kind='ReplicaSet',
        metadata=client.V1ObjectMeta(
            name='frontend',
            labels={
                'app': 'guestbook',
                'tier': 'frontend',
            },
        ),
        spec=client.V1ReplicaSetSpec(
            replicas=3,
            selector=client.V1LabelSelector(
                match_labels={
                    'tier': 'frontend',
                },
            ),
            template=client.V1PodTemplateSpec(
                metadata=client.V1ObjectMeta(
                    labels={
                        'tier': 'frontend',
                    },
                ),
                spec=client.V1PodSpec(
                    containers=[
                        client.V1Container(
                            name='php-redis',
                            image='gcr.io/google_samples/gb-frontend:v3',
                        ),
                    ],
                ),
            ),
        ),
    ) 

# 需要导入模块: from kubernetes import client [as 别名]
# 或者: from kubernetes.client import V1PodTemplateSpec [as 别名]
def test_get_pod_template_spec(
        self,
        mock_load_service_namespace_config,
        mock_get_node_affinity,
        mock_get_pod_volumes,
        mock_get_kubernetes_containers,
        mock_get_instance,
        mock_get_service,
        mock_get_volumes,
        in_smtstk,
        routable_ip,
        node_affinity,
        spec_affinity,
    ):
        mock_service_namespace_config = mock.Mock()
        mock_load_service_namespace_config.return_value = mock_service_namespace_config
        mock_service_namespace_config.is_in_smartstack.return_value = in_smtstk
        mock_get_node_affinity.return_value = node_affinity
        mock_system_paasta_config = mock.Mock()
        mock_system_paasta_config.get_pod_defaults.return_value = dict(dns_policy="foo")

        ret = self.deployment.get_pod_template_spec(
            git_sha="aaaa123", system_paasta_config=mock_system_paasta_config
        )

        assert mock_load_service_namespace_config.called
        assert mock_service_namespace_config.is_in_smartstack.called
        assert mock_get_pod_volumes.called
        assert mock_get_volumes.called
        pod_spec_kwargs = dict(
            service_account_name=None,
            containers=mock_get_kubernetes_containers.return_value,
            share_process_namespace=True,
            node_selector={"yelp.com/pool": "default"},
            restart_policy="Always",
            volumes=[],
            dns_policy="foo",
        )
        pod_spec_kwargs.update(spec_affinity)
        assert ret == V1PodTemplateSpec(
            metadata=V1ObjectMeta(
                labels={
                    "yelp.com/paasta_git_sha": "aaaa123",
                    "yelp.com/paasta_instance": mock_get_instance.return_value,
                    "yelp.com/paasta_service": mock_get_service.return_value,
                    "paasta.yelp.com/git_sha": "aaaa123",
                    "paasta.yelp.com/instance": mock_get_instance.return_value,
                    "paasta.yelp.com/service": mock_get_service.return_value,
                },
                annotations={
                    "smartstack_registrations": '["kurupt.fm"]',
                    "paasta.yelp.com/routable_ip": routable_ip,
                    "hpa": '{"http": {"any": "random"}, "uwsgi": {}}',
                    "iam.amazonaws.com/role": "",
                },
            ),
            spec=V1PodSpec(**pod_spec_kwargs),
        ) 

# 需要导入模块: from kubernetes import client [as 别名]
# 或者: from kubernetes.client import V1PodTemplateSpec [as 别名]
def init_deployment(self, tosca_kube_obj, kube_obj_name):
        """Instantiate the deployment object"""

        deployment_name = kube_obj_name
        # Create a list of container, which made a Pod
        containers = list()
        for container_prop in tosca_kube_obj.containers:
            limit_resource = self.init_resource_requirements(container_prop)
            container = self.init_containers(
                container_props=container_prop,
                limit_resource=limit_resource,
                name=deployment_name)
            containers.append(container)

        # Make a label with pattern {"selector": "deployment_name"}
        if tosca_kube_obj.scaling_object:
            scaling_name = tosca_kube_obj.scaling_object.scaling_name
            update_label = self.config_labels(deployment_name=deployment_name,
                                              scaling_name=scaling_name)
        else:
            update_label = self.config_labels(deployment_name=deployment_name)
        if tosca_kube_obj.labels:
            if 'selector' in update_label:
                del update_label['selector']
            update_label.update(tosca_kube_obj.labels)
        labels = update_label

        # Create and configure a spec section
        pod_template = client.V1PodTemplateSpec(
            metadata=client.V1ObjectMeta(
                labels=labels, annotations=tosca_kube_obj.annotations),
            spec=client.V1PodSpec(containers=containers))
        # Create the specification of deployment
        label_selector = client.V1LabelSelector(match_labels=labels)
        deployment_spec = client.V1DeploymentSpec(
            template=pod_template, selector=label_selector)
        metadata = client.V1ObjectMeta(name=deployment_name, labels=labels)

        # Instantiate the deployment object
        deployment = client.V1Deployment(
            api_version="apps/v1",
            kind="Deployment",
            metadata=metadata,
            spec=deployment_spec)
        return deployment

    # init_hpa initializes Kubernetes Horizon Pod Auto-scaling object 

# 需要导入模块: from kubernetes import client [as 别名]
# 或者: from kubernetes.client import V1PodTemplateSpec [as 别名]
def _add_kubetest_labels(self) -> None:
        """Add a kubetest label to the StatefulSet object.

        This allows kubetest to more easily and reliably search for and aggregate
        API objects, such as getting the Pods for a StatefulSet.

        The kubetest label key is "kubetest/<obj kind>" where the obj kind is
        the lower-cased kind of the obj.
        """
        self.klabel_key = 'kubetest/statefulset'
        if self.obj.metadata.labels:
            self.klabel_uid = self.obj.metadata.labels.get(self.klabel_key, None)
        else:
            self.klabel_uid = None
        if not self.klabel_uid:
            self.klabel_uid = str(uuid.uuid4())

        # fixme: it would be nice to clean up this label setting logic a bit
        #   and possibly abstract it out to something more generalized, but
        #   that is difficult to do given the differences in object attributes

        # Set the base metadata label
        if self.obj.metadata is None:
            self.obj.metadata = client.V1ObjectMeta()

        if self.obj.metadata.labels is None:
            self.obj.metadata.labels = {}

        if self.klabel_key not in self.obj.metadata.labels:
            self.obj.metadata.labels[self.klabel_key] = self.klabel_uid

        # If no spec is set, there is nothing to set additional labels on
        if self.obj.spec is None:
            log.warning('statefulset spec not set - cannot set kubetest label')
            return

        # Set the selector label
        if self.obj.spec.selector is None:
            self.obj.spec.selector = client.V1LabelSelector()

        if self.obj.spec.selector.match_labels is None:
            self.obj.spec.selector.match_labels = {}

        if self.klabel_key not in self.obj.spec.selector.match_labels:
            self.obj.spec.selector.match_labels[self.klabel_key] = self.klabel_uid

        # Set the template label
        if self.obj.spec.template is None:
            self.obj.spec.template = client.V1PodTemplateSpec()

        if self.obj.spec.template.metadata is None:
            self.obj.spec.template.metadata = client.V1ObjectMeta(labels={})

        if self.klabel_key not in self.obj.spec.template.metadata.labels:
            self.obj.spec.template.metadata.labels[self.klabel_key] = self.klabel_uid 

# 需要导入模块: from kubernetes import client [as 别名]
# 或者: from kubernetes.client import V1PodTemplateSpec [as 别名]
def _add_kubetest_labels(self) -> None:
        """Add a kubetest label to the Deployment object.

        This allows kubetest to more easily and reliably search for and aggregate
        API objects, such as getting the Pods for a Deployment.

        The kubetest label key is "kubetest/<obj kind>" where the obj kind is
        the lower-cased kind of the obj.
        """
        self.klabel_key = 'kubetest/deployment'
        if self.obj.metadata.labels:
            self.klabel_uid = self.obj.metadata.labels.get(self.klabel_key, None)
        else:
            self.klabel_uid = None
        if not self.klabel_uid:
            self.klabel_uid = str(uuid.uuid4())

        # fixme: it would be nice to clean up this label setting logic a bit
        #   and possibly abstract it out to something more generalized, but
        #   that is difficult to do given the differences in object attributes

        # Set the base metadata label
        if self.obj.metadata is None:
            self.obj.metadata = client.V1ObjectMeta()

        if self.obj.metadata.labels is None:
            self.obj.metadata.labels = {}

        if self.klabel_key not in self.obj.metadata.labels:
            self.obj.metadata.labels[self.klabel_key] = self.klabel_uid

        # If no spec is set, there is nothing to set additional labels on
        if self.obj.spec is None:
            log.warning('deployment spec not set - cannot set kubetest label')
            return

        # Set the selector label
        if self.obj.spec.selector is None:
            self.obj.spec.selector = client.V1LabelSelector()

        if self.obj.spec.selector.match_labels is None:
            self.obj.spec.selector.match_labels = {}

        if self.klabel_key not in self.obj.spec.selector.match_labels:
            self.obj.spec.selector.match_labels[self.klabel_key] = self.klabel_uid

        # Set the template label
        if self.obj.spec.template is None:
            self.obj.spec.template = client.V1PodTemplateSpec()

        if self.obj.spec.template.metadata is None:
            self.obj.spec.template.metadata = client.V1ObjectMeta(labels={})

        if self.klabel_key not in self.obj.spec.template.metadata.labels:
            self.obj.spec.template.metadata.labels[self.klabel_key] = self.klabel_uid