lentiq.models.workflow module
# coding: utf-8 ####alex test """ """ import pprint import re # noqa: F401 import six from lentiq.models.workflow_metadata import WorkflowMetadata # noqa: F401,E501 from lentiq.models.workflow_spec import WorkflowSpec # noqa: F401,E501 from lentiq.models.workflow_status import WorkflowStatus # noqa: F401,E501 class Workflow(object): """ """ """ Attributes: swagger_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. """ swagger_types = { 'metadata': 'WorkflowMetadata', 'spec': 'WorkflowSpec', 'status': 'WorkflowStatus' } attribute_map = { 'metadata': 'metadata', 'spec': 'spec', 'status': 'status' } discriminator = None def __init__(self, metadata=None, spec=None, status=None): # noqa: E501 """Workflow - a model defined in Swagger""" # noqa: E501 self._metadata = None self._spec = None self._status = None if metadata is not None: self.metadata = metadata if spec is not None: self.spec = spec if status is not None: self.status = status @property def metadata(self): """Gets the metadata of this Workflow. # noqa: E501 :return: The metadata of this Workflow. # noqa: E501 :rtype: WorkflowMetadata """ return self._metadata @metadata.setter def metadata(self, metadata): """Sets the metadata of this Workflow. :param metadata: The metadata of this Workflow. # noqa: E501 :type: WorkflowMetadata """ self._metadata = metadata @property def spec(self): """Gets the spec of this Workflow. # noqa: E501 :return: The spec of this Workflow. # noqa: E501 :rtype: WorkflowSpec """ return self._spec @spec.setter def spec(self, spec): """Sets the spec of this Workflow. :param spec: The spec of this Workflow. # noqa: E501 :type: WorkflowSpec """ self._spec = spec @property def status(self): """Gets the status of this Workflow. # noqa: E501 :return: The status of this Workflow. # noqa: E501 :rtype: WorkflowStatus """ return self._status @status.setter def status(self, status): """Sets the status of this Workflow. :param status: The status of this Workflow. # noqa: E501 :type: WorkflowStatus """ self._status = status def to_dict(self): """Returns the model properties as a dict""" result = {} for attr, _ in six.iteritems(self.swagger_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 if issubclass(Workflow, dict): for key, value in self.items(): result[key] = value return result 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, Workflow): return False return self.__dict__ == other.__dict__ def __ne__(self, other): """Returns true if both objects are not equal""" return not self == other
Classes
class Workflow
class Workflow(object): """ """ """ Attributes: swagger_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. """ swagger_types = { 'metadata': 'WorkflowMetadata', 'spec': 'WorkflowSpec', 'status': 'WorkflowStatus' } attribute_map = { 'metadata': 'metadata', 'spec': 'spec', 'status': 'status' } discriminator = None def __init__(self, metadata=None, spec=None, status=None): # noqa: E501 """Workflow - a model defined in Swagger""" # noqa: E501 self._metadata = None self._spec = None self._status = None if metadata is not None: self.metadata = metadata if spec is not None: self.spec = spec if status is not None: self.status = status @property def metadata(self): """Gets the metadata of this Workflow. # noqa: E501 :return: The metadata of this Workflow. # noqa: E501 :rtype: WorkflowMetadata """ return self._metadata @metadata.setter def metadata(self, metadata): """Sets the metadata of this Workflow. :param metadata: The metadata of this Workflow. # noqa: E501 :type: WorkflowMetadata """ self._metadata = metadata @property def spec(self): """Gets the spec of this Workflow. # noqa: E501 :return: The spec of this Workflow. # noqa: E501 :rtype: WorkflowSpec """ return self._spec @spec.setter def spec(self, spec): """Sets the spec of this Workflow. :param spec: The spec of this Workflow. # noqa: E501 :type: WorkflowSpec """ self._spec = spec @property def status(self): """Gets the status of this Workflow. # noqa: E501 :return: The status of this Workflow. # noqa: E501 :rtype: WorkflowStatus """ return self._status @status.setter def status(self, status): """Sets the status of this Workflow. :param status: The status of this Workflow. # noqa: E501 :type: WorkflowStatus """ self._status = status def to_dict(self): """Returns the model properties as a dict""" result = {} for attr, _ in six.iteritems(self.swagger_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 if issubclass(Workflow, dict): for key, value in self.items(): result[key] = value return result 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, Workflow): return False return self.__dict__ == other.__dict__ def __ne__(self, other): """Returns true if both objects are not equal""" return not self == other
Ancestors (in MRO)
- Workflow
- builtins.object
Class variables
var attribute_map
var discriminator
var swagger_types
Static methods
def __init__(
self, metadata=None, spec=None, status=None)
Workflow - a model defined in Swagger
def __init__(self, metadata=None, spec=None, status=None): # noqa: E501 """Workflow - a model defined in Swagger""" # noqa: E501 self._metadata = None self._spec = None self._status = None if metadata is not None: self.metadata = metadata if spec is not None: self.spec = spec if status is not None: self.status = status
def to_dict(
self)
Returns the model properties as a dict
def to_dict(self): """Returns the model properties as a dict""" result = {} for attr, _ in six.iteritems(self.swagger_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 if issubclass(Workflow, dict): for key, value in self.items(): result[key] = value return result
def to_str(
self)
Returns the string representation of the model
def to_str(self): """Returns the string representation of the model""" return pprint.pformat(self.to_dict())
Instance variables
var metadata
Gets the metadata of this Workflow. # noqa: E501
:return: The metadata of this Workflow. # noqa: E501 :rtype: WorkflowMetadata
var spec
Gets the spec of this Workflow. # noqa: E501
:return: The spec of this Workflow. # noqa: E501 :rtype: WorkflowSpec
var status
Gets the status of this Workflow. # noqa: E501
:return: The status of this Workflow. # noqa: E501 :rtype: WorkflowStatus