Source code for kfp_server_api.models.api_pipeline_spec

# 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 ApiPipelineSpec(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_id': 'str', 'pipeline_name': 'str', 'workflow_manifest': 'str', 'pipeline_manifest': 'str', 'parameters': 'list[ApiParameter]', 'runtime_config': 'PipelineSpecRuntimeConfig' } attribute_map = { 'pipeline_id': 'pipeline_id', 'pipeline_name': 'pipeline_name', 'workflow_manifest': 'workflow_manifest', 'pipeline_manifest': 'pipeline_manifest', 'parameters': 'parameters', 'runtime_config': 'runtime_config' } def __init__(self, pipeline_id=None, pipeline_name=None, workflow_manifest=None, pipeline_manifest=None, parameters=None, runtime_config=None, local_vars_configuration=None): # noqa: E501 """ApiPipelineSpec - 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_id = None self._pipeline_name = None self._workflow_manifest = None self._pipeline_manifest = None self._parameters = None self._runtime_config = None self.discriminator = None if pipeline_id is not None: self.pipeline_id = pipeline_id if pipeline_name is not None: self.pipeline_name = pipeline_name if workflow_manifest is not None: self.workflow_manifest = workflow_manifest if pipeline_manifest is not None: self.pipeline_manifest = pipeline_manifest if parameters is not None: self.parameters = parameters if runtime_config is not None: self.runtime_config = runtime_config @property def pipeline_id(self): """Gets the pipeline_id of this ApiPipelineSpec. # noqa: E501 Optional input field. The ID of the pipeline user uploaded before. # noqa: E501 :return: The pipeline_id of this ApiPipelineSpec. # noqa: E501 :rtype: str """ return self._pipeline_id @pipeline_id.setter def pipeline_id(self, pipeline_id): """Sets the pipeline_id of this ApiPipelineSpec. Optional input field. The ID of the pipeline user uploaded before. # noqa: E501 :param pipeline_id: The pipeline_id of this ApiPipelineSpec. # noqa: E501 :type pipeline_id: str """ self._pipeline_id = pipeline_id @property def pipeline_name(self): """Gets the pipeline_name of this ApiPipelineSpec. # noqa: E501 Optional output field. The name of the pipeline. Not empty if the pipeline id is not empty. # noqa: E501 :return: The pipeline_name of this ApiPipelineSpec. # noqa: E501 :rtype: str """ return self._pipeline_name @pipeline_name.setter def pipeline_name(self, pipeline_name): """Sets the pipeline_name of this ApiPipelineSpec. Optional output field. The name of the pipeline. Not empty if the pipeline id is not empty. # noqa: E501 :param pipeline_name: The pipeline_name of this ApiPipelineSpec. # noqa: E501 :type pipeline_name: str """ self._pipeline_name = pipeline_name @property def workflow_manifest(self): """Gets the workflow_manifest of this ApiPipelineSpec. # noqa: E501 Optional input field. The marshalled raw argo JSON workflow. This will be deprecated when pipeline_manifest is in use. # noqa: E501 :return: The workflow_manifest of this ApiPipelineSpec. # noqa: E501 :rtype: str """ return self._workflow_manifest @workflow_manifest.setter def workflow_manifest(self, workflow_manifest): """Sets the workflow_manifest of this ApiPipelineSpec. Optional input field. The marshalled raw argo JSON workflow. This will be deprecated when pipeline_manifest is in use. # noqa: E501 :param workflow_manifest: The workflow_manifest of this ApiPipelineSpec. # noqa: E501 :type workflow_manifest: str """ self._workflow_manifest = workflow_manifest @property def pipeline_manifest(self): """Gets the pipeline_manifest of this ApiPipelineSpec. # noqa: E501 Optional input field. The raw pipeline JSON spec. # noqa: E501 :return: The pipeline_manifest of this ApiPipelineSpec. # noqa: E501 :rtype: str """ return self._pipeline_manifest @pipeline_manifest.setter def pipeline_manifest(self, pipeline_manifest): """Sets the pipeline_manifest of this ApiPipelineSpec. Optional input field. The raw pipeline JSON spec. # noqa: E501 :param pipeline_manifest: The pipeline_manifest of this ApiPipelineSpec. # noqa: E501 :type pipeline_manifest: str """ self._pipeline_manifest = pipeline_manifest @property def parameters(self): """Gets the parameters of this ApiPipelineSpec. # noqa: E501 :return: The parameters of this ApiPipelineSpec. # noqa: E501 :rtype: list[ApiParameter] """ return self._parameters @parameters.setter def parameters(self, parameters): """Sets the parameters of this ApiPipelineSpec. :param parameters: The parameters of this ApiPipelineSpec. # noqa: E501 :type parameters: list[ApiParameter] """ self._parameters = parameters @property def runtime_config(self): """Gets the runtime_config of this ApiPipelineSpec. # noqa: E501 :return: The runtime_config of this ApiPipelineSpec. # noqa: E501 :rtype: PipelineSpecRuntimeConfig """ return self._runtime_config @runtime_config.setter def runtime_config(self, runtime_config): """Sets the runtime_config of this ApiPipelineSpec. :param runtime_config: The runtime_config of this ApiPipelineSpec. # noqa: E501 :type runtime_config: PipelineSpecRuntimeConfig """ self._runtime_config = runtime_config
[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, ApiPipelineSpec): 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, ApiPipelineSpec): return True return self.to_dict() != other.to_dict()