def create_deployment_object(data):
# Configureate Pod template container
ports = []
for port in data["ports"].split(','):
portDefinition = client.V1ContainerPort(container_port=int(port))
ports.append(portDefinition)
envs = []
if "environments" in data:
envs_array = data["environments"].splitlines()
tmp_envs = dict(s.split('=', 1) for s in envs_array)
for key in tmp_envs:
envs.append(client.V1EnvVar(name=key, value=tmp_envs[key]))
if "environments_secrets" in data:
envs_array = data["environments_secrets"].splitlines()
tmp_envs = dict(s.split('=', 1) for s in envs_array)
for key in tmp_envs:
if (":" in tmp_envs[key]):
# passing secret env
value = tmp_envs[key]
secrets = value.split(':')
secrect_key = secrets[1]
secrect_name = secrets[0]
envs.append(
client.V1EnvVar(
name=key,
value="",
value_from=client.V1EnvVarSource(
secret_key_ref=client.V1SecretKeySelector(
key=secrect_key, name=secrect_name))))
container = client.V1Container(name=data["container_name"],
image=data["image"],
ports=ports,
env=envs)
if "volume_mounts" in data:
volume_mounts = []
vm_array = data["volume_mounts"].split(",")
tmp_vm = dict(s.split('=', 1) for s in vm_array)
for key in tmp_vm:
volume_mounts.append(
client.V1VolumeMount(name=key, mount_path=tmp_vm[key]))
container.volume_mounts = volume_mounts
if "liveness_probe" in data:
container.liveness_probe = common.load_liveness_readiness_probe(
data["liveness_probe"])
if "readiness_probe" in data:
container.readiness_probe = common.load_liveness_readiness_probe(
data["readiness_probe"])
if "container_command" in data:
container.command = data["container_command"].split(' ')
if "container_args" in data:
args_array = data["container_args"].splitlines()
container.args = args_array
if "resources_requests" in data:
resources_array = data["resources_requests"].split(",")
tmp_resources = dict(s.split('=', 1) for s in resources_array)
container.resources = client.V1ResourceRequirements(
requests=tmp_resources)
labels_array = data["labels"].split(',')
labels = dict(s.split('=') for s in labels_array)
template_spec = client.V1PodSpec(containers=[container])
if "volumes" in data:
volumes_data = yaml.load(data["volumes"])
volumes = []
if (isinstance(volumes_data, list)):
for volume_data in volumes_data:
volume = common.create_volume(volume_data)
if volume:
volumes.append(volume)
else:
volume = common.create_volume(volumes_data)
if volume:
volumes.append(volume)
template_spec.volumes = volumes
# Create and configurate a spec section
template = client.V1PodTemplateSpec(
metadata=client.V1ObjectMeta(labels=labels), spec=template_spec)
# Create the specification of deployment
spec = client.ExtensionsV1beta1DeploymentSpec(replicas=int(
data["replicas"]),
template=template)
# Instantiate the deployment object
deployment = client.ExtensionsV1beta1Deployment(
api_version=data["api_version"],
kind="Deployment",
metadata=client.V1ObjectMeta(labels=labels,
namespace=data["namespace"],
name=data["name"]),
spec=spec)
return deployment
def create_job_object(data):
meta = client.V1ObjectMeta(name=data["name"], namespace=data["namespace"])
labels = None
if "labels" in data:
labels_array = data["labels"].split(',')
labels = dict(s.split('=') for s in labels_array)
meta.labels = labels
annotations = None
if "annotations" in data:
annotations_array = data["annotations"].split(',')
annotations = dict(s.split('=') for s in annotations_array)
meta.annotations = annotations
envs = []
if "environments" in data:
envs_array = data["environments"].splitlines()
tmp_envs = dict(s.split('=', 1) for s in envs_array)
for key in tmp_envs:
envs.append(client.V1EnvVar(name=key, value=tmp_envs[key]))
if "environments_secrets" in data:
envs_array = data["environments_secrets"].splitlines()
tmp_envs = dict(s.split('=', 1) for s in envs_array)
for key in tmp_envs:
if (":" in tmp_envs[key]):
# passing secret env
value = tmp_envs[key]
secrets = value.split(':')
secrect_key = secrets[1]
secrect_name = secrets[0]
envs.append(
client.V1EnvVar(
name=key,
value="",
value_from=client.V1EnvVarSource(
secret_key_ref=client.V1SecretKeySelector(
key=secrect_key, name=secrect_name))))
container = client.V1Container(name=data["container_name"],
image=data["container_image"],
image_pull_policy=data["image_pull_policy"])
if "container_command" in data:
container.command = data["container_command"].split(' ')
if "container_args" in data:
args_array = data["container_args"].splitlines()
container.args = args_array
if "resources_requests" in data:
resources_array = data["resources_requests"].split(",")
tmp = dict(s.split('=', 1) for s in resources_array)
container.resources = client.V1ResourceRequirements(requests=tmp)
if "volume_mounts" in data:
mounts = common.create_volume_mount_yaml(data)
container.volume_mounts = mounts
container.env = envs
if "env_from" in data:
env_froms_data = yaml.full_load(data["env_from"])
env_from = []
for env_from_data in env_froms_data:
if 'configMapRef' in env_from_data:
env_from.append(
client.V1EnvFromSource(
config_map_ref=client.V1ConfigMapEnvSource(
env_from_data['configMapRef']['name'])))
elif 'secretRef' in env_from_data:
env_from.append(
client.V1EnvFromSource(secret_ref=client.V1SecretEnvSource(
env_from_data['secretRef']['name'])))
container.env_from = env_from
template_spec = client.V1PodSpec(containers=[container],
restart_policy=data["job_restart_policy"])
if "volumes" in data:
volumes_data = yaml.safe_load(data["volumes"])
volumes = []
if (isinstance(volumes_data, list)):
for volume_data in volumes_data:
volume = common.create_volume(volume_data)
if volume:
volumes.append(volume)
else:
volume = common.create_volume(volumes_data)
if volume:
volumes.append(volume)
template_spec.volumes = volumes
if "image_pull_secrets" in data:
images_array = data["image_pull_secrets"].split(",")
images = []
for image in images_array:
images.append(client.V1LocalObjectReference(name=image))
template_spec.image_pull_secrets = images
if "tolerations" in data:
tolerations_data = yaml.safe_load(data["tolerations"])
tolerations = []
for toleration_data in tolerations_data:
toleration = common.create_toleration(toleration_data)
if toleration:
tolerations.append(toleration)
template_spec.tolerations = tolerations
template = client.V1PodTemplateSpec(metadata=client.V1ObjectMeta(
name=data["name"],
labels=labels,
annotations=annotations,
),
spec=template_spec)
spec = client.V1JobSpec(template=template)
if "completions" in data:
spec.completions = int(data["completions"])
if "selectors" in data:
selectors_array = data["selectors"].split(',')
selectors = dict(s.split('=') for s in selectors_array)
spec.selector = selectors
if "node_selector" in data:
node_selectors_array = data["node_selector"].split(',')
node_selectors = dict(s.split('=') for s in node_selectors_array)
spec.nodeSelector = node_selectors
if "parallelism" in data:
spec.parallelism = int(data["parallelism"])
if "active_deadline_seconds" in data:
spec.active_deadline_seconds = int(data["active_deadline_seconds"])
if "backoff_limit" in data:
spec.backoff_limit = int(data["backoff_limit"])
job = client.V1Job(api_version=data["api_version"],
kind='Job',
metadata=meta,
spec=spec)
return job
def create_job_object(data):
meta = client.V1ObjectMeta(name=data["name"], namespace=data["namespace"])
labels = None
if "labels" in data:
labels_array = data["labels"].split(',')
labels = dict(s.split('=') for s in labels_array)
meta.labels = labels
annotations = None
if "annotations" in data:
annotations_array = data["annotations"].split(',')
annotations = dict(s.split('=') for s in annotations_array)
meta.annotations = annotations
envs = []
if "environments" in data:
envs_array = data["environments"].splitlines()
tmp_envs = dict(s.split('=', 1) for s in envs_array)
for key in tmp_envs:
envs.append(client.V1EnvVar(name=key, value=tmp_envs[key]))
if "environments_secrets" in data:
envs_array = data["environments_secrets"].splitlines()
tmp_envs = dict(s.split('=', 1) for s in envs_array)
for key in tmp_envs:
if (":" in tmp_envs[key]):
# passing secret env
value = tmp_envs[key]
secrets = value.split(':')
secrect_key = secrets[1]
secrect_name = secrets[0]
envs.append(
client.V1EnvVar(
name=key,
value="",
value_from=client.V1EnvVarSource(
secret_key_ref=client.V1SecretKeySelector(
key=secrect_key, name=secrect_name))))
container = client.V1Container(name=data["container_name"],
image=data["container_image"],
image_pull_policy=data["image_pull_policy"])
if "container_command" in data:
container.command = data["container_command"].split(' ')
if "container_args" in data:
args_array = data["container_args"].splitlines()
container.args = args_array
if "resources_requests" in data:
resources_array = data["resources_requests"].split(",")
tmp = dict(s.split('=', 1) for s in resources_array)
container.resources = client.V1ResourceRequirements(requests=tmp)
if "volume_mounts" in data:
volumes_array = data["volume_mounts"].splitlines()
tmp = dict(s.split('=', 1) for s in volumes_array)
mounts = []
for key in tmp:
mounts.append(client.V1VolumeMount(name=key, mount_path=tmp[key]))
container.volume_mounts = mounts
container.env = envs
template_spec = client.V1PodSpec(containers=[container],
restart_policy=data["job_restart_policy"])
if "volumes" in data:
volumes_data = yaml.load(data["volumes"])
volumes = []
if (isinstance(volumes_data, list)):
for volume_data in volumes_data:
volume = common.create_volume(volume_data)
if volume:
volumes.append(volume)
else:
volume = common.create_volume(volumes_data)
if volume:
volumes.append(volume)
template_spec.volumes = volumes
template = client.V1PodTemplateSpec(metadata=client.V1ObjectMeta(
name=data["name"],
labels=labels,
annotations=annotations,
),
spec=template_spec)
spec = client.V1JobSpec(template=template)
if "completions" in data:
spec.completions = int(data["completions"])
if "selectors" in data:
selectors_array = data["selectors"].split(',')
selectors = dict(s.split('=') for s in selectors_array)
spec.selector = selectors
if "parallelism" in data:
spec.parallelism = int(data["parallelism"])
if "active_deadline_seconds" in data:
spec.active_deadline_seconds = int(data["active_deadline_seconds"])
if "backoff_limit" in data:
spec.backoff_limit = int(data["backoff_limit"])
job = client.V1Job(api_version=data["api_version"],
kind='Job',
metadata=meta,
spec=spec)
return job