# 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 PipelineSpecRuntimeConfig(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 = {
'parameters': 'dict(str, ApiValue)',
'pipeline_root': 'str'
}
attribute_map = {
'parameters': 'parameters',
'pipeline_root': 'pipeline_root'
}
def __init__(self, parameters=None, pipeline_root=None, local_vars_configuration=None): # noqa: E501
"""PipelineSpecRuntimeConfig - 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._parameters = None
self._pipeline_root = None
self.discriminator = None
if parameters is not None:
self.parameters = parameters
if pipeline_root is not None:
self.pipeline_root = pipeline_root
@property
def parameters(self):
"""Gets the parameters of this PipelineSpecRuntimeConfig. # noqa: E501
The runtime parameters of the PipelineSpec. The parameters will be used to replace the placeholders at runtime. # noqa: E501
:return: The parameters of this PipelineSpecRuntimeConfig. # noqa: E501
:rtype: dict(str, ApiValue)
"""
return self._parameters
@parameters.setter
def parameters(self, parameters):
"""Sets the parameters of this PipelineSpecRuntimeConfig.
The runtime parameters of the PipelineSpec. The parameters will be used to replace the placeholders at runtime. # noqa: E501
:param parameters: The parameters of this PipelineSpecRuntimeConfig. # noqa: E501
:type parameters: dict(str, ApiValue)
"""
self._parameters = parameters
@property
def pipeline_root(self):
"""Gets the pipeline_root of this PipelineSpecRuntimeConfig. # noqa: E501
:return: The pipeline_root of this PipelineSpecRuntimeConfig. # noqa: E501
:rtype: str
"""
return self._pipeline_root
@pipeline_root.setter
def pipeline_root(self, pipeline_root):
"""Sets the pipeline_root of this PipelineSpecRuntimeConfig.
:param pipeline_root: The pipeline_root of this PipelineSpecRuntimeConfig. # noqa: E501
:type pipeline_root: str
"""
self._pipeline_root = pipeline_root
[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, PipelineSpecRuntimeConfig):
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, PipelineSpecRuntimeConfig):
return True
return self.to_dict() != other.to_dict()