# coding: utf-8
"""
Kubeflow Pipelines API
This file contains REST API specification for Kubeflow Pipelines. The file is autogenerated from the swagger definition.
Contact: kubeflow-pipelines@google.com
Generated by: https://openapi-generator.tech
"""
import pprint
import re # noqa: F401
import six
from kfp_server_api.configuration import Configuration
[docs]class ApiPipelineRuntime(object):
"""NOTE: This class is auto generated by OpenAPI Generator.
Ref: https://openapi-generator.tech
Do not edit the class manually.
"""
"""
Attributes:
openapi_types (dict): The key is attribute name
and the value is attribute type.
attribute_map (dict): The key is attribute name
and the value is json key in definition.
"""
openapi_types = {
'pipeline_manifest': 'str',
'workflow_manifest': 'str'
}
attribute_map = {
'pipeline_manifest': 'pipeline_manifest',
'workflow_manifest': 'workflow_manifest'
}
def __init__(self, pipeline_manifest=None, workflow_manifest=None, local_vars_configuration=None): # noqa: E501
"""ApiPipelineRuntime - a model defined in OpenAPI""" # noqa: E501
if local_vars_configuration is None:
local_vars_configuration = Configuration()
self.local_vars_configuration = local_vars_configuration
self._pipeline_manifest = None
self._workflow_manifest = None
self.discriminator = None
if pipeline_manifest is not None:
self.pipeline_manifest = pipeline_manifest
if workflow_manifest is not None:
self.workflow_manifest = workflow_manifest
@property
def pipeline_manifest(self):
"""Gets the pipeline_manifest of this ApiPipelineRuntime. # noqa: E501
Output. The runtime JSON manifest of the pipeline, including the status of pipeline steps and fields need for UI visualization etc. # noqa: E501
:return: The pipeline_manifest of this ApiPipelineRuntime. # noqa: E501
:rtype: str
"""
return self._pipeline_manifest
@pipeline_manifest.setter
def pipeline_manifest(self, pipeline_manifest):
"""Sets the pipeline_manifest of this ApiPipelineRuntime.
Output. The runtime JSON manifest of the pipeline, including the status of pipeline steps and fields need for UI visualization etc. # noqa: E501
:param pipeline_manifest: The pipeline_manifest of this ApiPipelineRuntime. # noqa: E501
:type pipeline_manifest: str
"""
self._pipeline_manifest = pipeline_manifest
@property
def workflow_manifest(self):
"""Gets the workflow_manifest of this ApiPipelineRuntime. # noqa: E501
Output. The runtime JSON manifest of the argo workflow. This is deprecated after pipeline_runtime_manifest is in use. # noqa: E501
:return: The workflow_manifest of this ApiPipelineRuntime. # noqa: E501
:rtype: str
"""
return self._workflow_manifest
@workflow_manifest.setter
def workflow_manifest(self, workflow_manifest):
"""Sets the workflow_manifest of this ApiPipelineRuntime.
Output. The runtime JSON manifest of the argo workflow. This is deprecated after pipeline_runtime_manifest is in use. # noqa: E501
:param workflow_manifest: The workflow_manifest of this ApiPipelineRuntime. # noqa: E501
:type workflow_manifest: str
"""
self._workflow_manifest = workflow_manifest
[docs] def to_dict(self):
"""Returns the model properties as a dict"""
result = {}
for attr, _ in six.iteritems(self.openapi_types):
value = getattr(self, attr)
if isinstance(value, list):
result[attr] = list(map(
lambda x: x.to_dict() if hasattr(x, "to_dict") else x,
value
))
elif hasattr(value, "to_dict"):
result[attr] = value.to_dict()
elif isinstance(value, dict):
result[attr] = dict(map(
lambda item: (item[0], item[1].to_dict())
if hasattr(item[1], "to_dict") else item,
value.items()
))
else:
result[attr] = value
return result
[docs] def to_str(self):
"""Returns the string representation of the model"""
return pprint.pformat(self.to_dict())
def __repr__(self):
"""For `print` and `pprint`"""
return self.to_str()
def __eq__(self, other):
"""Returns true if both objects are equal"""
if not isinstance(other, ApiPipelineRuntime):
return False
return self.to_dict() == other.to_dict()
def __ne__(self, other):
"""Returns true if both objects are not equal"""
if not isinstance(other, ApiPipelineRuntime):
return True
return self.to_dict() != other.to_dict()