incubator-airflow/airflow/kubernetes/pod_generator.py

346 строки
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Python
Исходник Обычный вид История

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# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you 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
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# 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.
"""
This module provides an interface between the previous Pod
API and outputs a kubernetes.client.models.V1Pod.
The advantage being that the full Kubernetes API
is supported and no serialization need be written.
"""
import copy
import uuid
import kubernetes.client.models as k8s
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class PodDefaults:
"""
Static defaults for Pods
"""
XCOM_MOUNT_PATH = '/airflow/xcom'
SIDECAR_CONTAINER_NAME = 'airflow-xcom-sidecar'
XCOM_CMD = 'trap "exit 0" INT; while true; do sleep 30; done;'
VOLUME_MOUNT = k8s.V1VolumeMount(
name='xcom',
mount_path=XCOM_MOUNT_PATH
)
VOLUME = k8s.V1Volume(
name='xcom',
empty_dir=k8s.V1EmptyDirVolumeSource()
)
SIDECAR_CONTAINER = k8s.V1Container(
name=SIDECAR_CONTAINER_NAME,
command=['sh', '-c', XCOM_CMD],
image='alpine',
volume_mounts=[VOLUME_MOUNT],
resources=k8s.V1ResourceRequirements(
requests={
"cpu": "1m",
}
),
)
class PodGenerator:
"""
Contains Kubernetes Airflow Worker configuration logic
Represents a kubernetes pod and manages execution of a single pod.
:param image: The docker image
:type image: str
:param envs: A dict containing the environment variables
:type envs: Dict[str, str]
:param cmds: The command to be run on the pod
:type cmds: List[str]
:param image_pull_policy: Specify a policy to cache or always pull an image
:type image_pull_policy: str
:param image_pull_secrets: Any image pull secrets to be given to the pod.
If more than one secret is required, provide a comma separated list:
secret_a,secret_b
:type image_pull_secrets: str
:param affinity: A dict containing a group of affinity scheduling rules
:type affinity: dict
:param hostnetwork: If True enable host networking on the pod
:type hostnetwork: bool
:param tolerations: A list of kubernetes tolerations
:type tolerations: list
:param security_context: A dict containing the security context for the pod
:type security_context: dict
:param configmaps: Any configmap refs to envfrom.
If more than one configmap is required, provide a comma separated list
configmap_a,configmap_b
:type configmaps: List[str]
:param dnspolicy: Specify a dnspolicy for the pod
:type dnspolicy: str
:param schedulername: Specify a schedulername for the pod
:type schedulername: str
:param pod: The fully specified pod.
:type pod: kubernetes.client.models.V1Pod
"""
def __init__( # pylint: disable=too-many-arguments,too-many-locals
self,
image,
name=None,
namespace=None,
volume_mounts=None,
envs=None,
cmds=None,
args=None,
labels=None,
node_selectors=None,
ports=None,
volumes=None,
image_pull_policy='IfNotPresent',
restart_policy='Never',
image_pull_secrets=None,
init_containers=None,
service_account_name=None,
resources=None,
annotations=None,
affinity=None,
hostnetwork=False,
tolerations=None,
security_context=None,
configmaps=None,
dnspolicy=None,
schedulername=None,
pod=None,
extract_xcom=False,
):
self.ud_pod = pod
self.pod = k8s.V1Pod()
self.pod.api_version = 'v1'
self.pod.kind = 'Pod'
# Pod Metadata
self.metadata = k8s.V1ObjectMeta()
self.metadata.labels = labels
self.metadata.name = name + "-" + str(uuid.uuid4())[:8] if name else None
self.metadata.namespace = namespace
self.metadata.annotations = annotations
# Pod Container
self.container = k8s.V1Container(name='base')
self.container.image = image
self.container.env = []
if envs:
if isinstance(envs, dict):
for key, val in envs.items():
self.container.env.append(k8s.V1EnvVar(
name=key,
value=val
))
elif isinstance(envs, list):
self.container.env.extend(envs)
configmaps = configmaps or []
self.container.env_from = []
for configmap in configmaps:
self.container.env_from.append(k8s.V1EnvFromSource(
config_map_ref=k8s.V1ConfigMapEnvSource(
name=configmap
)
))
self.container.command = cmds or []
self.container.args = args or []
self.container.image_pull_policy = image_pull_policy
self.container.ports = ports or []
self.container.resources = resources
self.container.volume_mounts = volume_mounts or []
# Pod Spec
self.spec = k8s.V1PodSpec(containers=[])
self.spec.security_context = security_context
self.spec.tolerations = tolerations
self.spec.dns_policy = dnspolicy
self.spec.scheduler_name = schedulername
self.spec.host_network = hostnetwork
self.spec.affinity = affinity
self.spec.service_account_name = service_account_name
self.spec.init_containers = init_containers
self.spec.volumes = volumes or []
self.spec.node_selector = node_selectors
self.spec.restart_policy = restart_policy
self.spec.image_pull_secrets = []
if image_pull_secrets:
for image_pull_secret in image_pull_secrets.split(','):
self.spec.image_pull_secrets.append(k8s.V1LocalObjectReference(
name=image_pull_secret
))
# Attach sidecar
self.extract_xcom = extract_xcom
def gen_pod(self) -> k8s.V1Pod:
"""Generates pod"""
result = self.ud_pod
if result is None:
result = self.pod
result.spec = self.spec
result.metadata = self.metadata
result.spec.containers = [self.container]
if self.extract_xcom:
result = self.add_sidecar(result)
return result
@staticmethod
def add_sidecar(pod: k8s.V1Pod) -> k8s.V1Pod:
"""Adds sidecar"""
pod_cp = copy.deepcopy(pod)
pod_cp.spec.volumes.insert(0, PodDefaults.VOLUME)
pod_cp.spec.containers[0].volume_mounts.insert(0, PodDefaults.VOLUME_MOUNT)
pod_cp.spec.containers.append(PodDefaults.SIDECAR_CONTAINER)
return pod_cp
@staticmethod
def from_obj(obj) -> k8s.V1Pod:
"""Converts to pod from obj"""
if obj is None:
return k8s.V1Pod()
if isinstance(obj, PodGenerator):
return obj.gen_pod()
if not isinstance(obj, dict):
raise TypeError(
'Cannot convert a non-dictionary or non-PodGenerator '
'object into a KubernetesExecutorConfig')
# We do not want to extract constant here from ExecutorLoader because it is just
# A name in dictionary rather than executor selection mechanism and it causes cyclic import
namespaced = obj.get("KubernetesExecutor", {})
resources = namespaced.get('resources')
if resources is None:
requests = {
'cpu': namespaced.get('request_cpu'),
'memory': namespaced.get('request_memory')
}
limits = {
'cpu': namespaced.get('limit_cpu'),
'memory': namespaced.get('limit_memory')
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}
all_resources = list(requests.values()) + list(limits.values())
if all(r is None for r in all_resources):
resources = None
else:
resources = k8s.V1ResourceRequirements(
requests=requests,
limits=limits
)
pod_spec_generator = PodGenerator(
image=namespaced.get('image'),
envs=namespaced.get('env'),
cmds=namespaced.get('cmds'),
args=namespaced.get('args'),
labels=namespaced.get('labels'),
node_selectors=namespaced.get('node_selectors'),
name=namespaced.get('name'),
ports=namespaced.get('ports'),
volumes=namespaced.get('volumes'),
volume_mounts=namespaced.get('volume_mounts'),
namespace=namespaced.get('namespace'),
image_pull_policy=namespaced.get('image_pull_policy'),
restart_policy=namespaced.get('restart_policy'),
image_pull_secrets=namespaced.get('image_pull_secrets'),
init_containers=namespaced.get('init_containers'),
service_account_name=namespaced.get('service_account_name'),
resources=resources,
annotations=namespaced.get('annotations'),
affinity=namespaced.get('affinity'),
hostnetwork=namespaced.get('hostnetwork'),
tolerations=namespaced.get('tolerations'),
security_context=namespaced.get('security_context'),
configmaps=namespaced.get('configmaps'),
dnspolicy=namespaced.get('dnspolicy'),
schedulername=namespaced.get('schedulername'),
pod=namespaced.get('pod'),
extract_xcom=namespaced.get('extract_xcom'),
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)
return pod_spec_generator.gen_pod()
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@staticmethod
def reconcile_pods(base_pod: k8s.V1Pod, client_pod: k8s.V1Pod) -> k8s.V1Pod:
"""
:param base_pod: has the base attributes which are overwritten if they exist
in the client pod and remain if they do not exist in the client_pod
:type base_pod: k8s.V1Pod
:param client_pod: the pod that the client wants to create.
:type client_pod: k8s.V1Pod
:return: the merged pods
This can't be done recursively as certain fields are preserved,
some overwritten, and some concatenated, e.g. The command
should be preserved from base, the volumes appended to and
the other fields overwritten.
"""
client_pod_cp = copy.deepcopy(client_pod)
def merge_objects(base_obj, client_obj):
for base_key in base_obj.to_dict().keys():
base_val = getattr(base_obj, base_key, None)
if not getattr(client_obj, base_key, None) and base_val:
setattr(client_obj, base_key, base_val)
def extend_object_field(base_obj, client_obj, field_name):
base_obj_field = getattr(base_obj, field_name, None)
client_obj_field = getattr(client_obj, field_name, None)
if not base_obj_field:
return
if not client_obj_field:
setattr(client_obj, field_name, base_obj_field)
return
appended_fields = base_obj_field + client_obj_field
setattr(client_obj, field_name, appended_fields)
# Values at the pod and metadata should be overwritten where they exist,
# but certain values at the spec and container level must be conserved.
base_container = base_pod.spec.containers[0]
client_container = client_pod_cp.spec.containers[0]
extend_object_field(base_container, client_container, 'volume_mounts')
extend_object_field(base_container, client_container, 'env')
extend_object_field(base_container, client_container, 'env_from')
extend_object_field(base_container, client_container, 'ports')
extend_object_field(base_container, client_container, 'volume_devices')
client_container.command = base_container.command
client_container.args = base_container.args
merge_objects(base_pod.spec.containers[0], client_pod_cp.spec.containers[0])
# Just append any additional containers from the base pod
client_pod_cp.spec.containers.extend(base_pod.spec.containers[1:])
merge_objects(base_pod.metadata, client_pod_cp.metadata)
extend_object_field(base_pod.spec, client_pod_cp.spec, 'volumes')
merge_objects(base_pod.spec, client_pod_cp.spec)
merge_objects(base_pod, client_pod_cp)
return client_pod_cp