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lentiq.models.workflow_execution_spec module

# coding: utf-8
####alex test
"""
    
    
        
    """

import pprint
import re  # noqa: F401

import six
from lentiq.models.task import Task  # noqa: F401,E501


class WorkflowExecutionSpec(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 = {
        'tasks': 'list[Task]',
        'ttl_millis': 'int'
    }

    attribute_map = {
        'tasks': 'tasks',
        'ttl_millis': 'ttlMillis'
    }

    discriminator = None

    def __init__(self, tasks=None, ttl_millis=None):  # noqa: E501
        """WorkflowExecutionSpec - a model defined in Swagger"""  # noqa: E501
        self._tasks = None
        self._ttl_millis = None

        if tasks is not None:
            self.tasks = tasks
        if ttl_millis is not None:
            self.ttl_millis = ttl_millis

    @property
    def tasks(self):
        """Gets the tasks of this WorkflowExecutionSpec.  # noqa: E501


        :return: The tasks of this WorkflowExecutionSpec.  # noqa: E501
        :rtype: list[Task]
        """
        return self._tasks

    @tasks.setter
    def tasks(self, tasks):
        """Sets the tasks of this WorkflowExecutionSpec.


        :param tasks: The tasks of this WorkflowExecutionSpec.  # noqa: E501
        :type: list[Task]
        """

        self._tasks = tasks

    @property
    def ttl_millis(self):
        """Gets the ttl_millis of this WorkflowExecutionSpec.  # noqa: E501


        :return: The ttl_millis of this WorkflowExecutionSpec.  # noqa: E501
        :rtype: int
        """
        return self._ttl_millis

    @ttl_millis.setter
    def ttl_millis(self, ttl_millis):
        """Sets the ttl_millis of this WorkflowExecutionSpec.


        :param ttl_millis: The ttl_millis of this WorkflowExecutionSpec.  # noqa: E501
        :type: int
        """

        self._ttl_millis = ttl_millis

    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(WorkflowExecutionSpec, 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, WorkflowExecutionSpec):
            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 WorkflowExecutionSpec

class WorkflowExecutionSpec(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 = {
        'tasks': 'list[Task]',
        'ttl_millis': 'int'
    }

    attribute_map = {
        'tasks': 'tasks',
        'ttl_millis': 'ttlMillis'
    }

    discriminator = None

    def __init__(self, tasks=None, ttl_millis=None):  # noqa: E501
        """WorkflowExecutionSpec - a model defined in Swagger"""  # noqa: E501
        self._tasks = None
        self._ttl_millis = None

        if tasks is not None:
            self.tasks = tasks
        if ttl_millis is not None:
            self.ttl_millis = ttl_millis

    @property
    def tasks(self):
        """Gets the tasks of this WorkflowExecutionSpec.  # noqa: E501


        :return: The tasks of this WorkflowExecutionSpec.  # noqa: E501
        :rtype: list[Task]
        """
        return self._tasks

    @tasks.setter
    def tasks(self, tasks):
        """Sets the tasks of this WorkflowExecutionSpec.


        :param tasks: The tasks of this WorkflowExecutionSpec.  # noqa: E501
        :type: list[Task]
        """

        self._tasks = tasks

    @property
    def ttl_millis(self):
        """Gets the ttl_millis of this WorkflowExecutionSpec.  # noqa: E501


        :return: The ttl_millis of this WorkflowExecutionSpec.  # noqa: E501
        :rtype: int
        """
        return self._ttl_millis

    @ttl_millis.setter
    def ttl_millis(self, ttl_millis):
        """Sets the ttl_millis of this WorkflowExecutionSpec.


        :param ttl_millis: The ttl_millis of this WorkflowExecutionSpec.  # noqa: E501
        :type: int
        """

        self._ttl_millis = ttl_millis

    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(WorkflowExecutionSpec, 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, WorkflowExecutionSpec):
            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)

Class variables

var attribute_map

var discriminator

var swagger_types

Static methods

def __init__(

self, tasks=None, ttl_millis=None)

WorkflowExecutionSpec - a model defined in Swagger

def __init__(self, tasks=None, ttl_millis=None):  # noqa: E501
    """WorkflowExecutionSpec - a model defined in Swagger"""  # noqa: E501
    self._tasks = None
    self._ttl_millis = None
    if tasks is not None:
        self.tasks = tasks
    if ttl_millis is not None:
        self.ttl_millis = ttl_millis

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(WorkflowExecutionSpec, 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 tasks

Gets the tasks of this WorkflowExecutionSpec. # noqa: E501

:return: The tasks of this WorkflowExecutionSpec. # noqa: E501 :rtype: list[Task]

var ttl_millis

Gets the ttl_millis of this WorkflowExecutionSpec. # noqa: E501

:return: The ttl_millis of this WorkflowExecutionSpec. # noqa: E501 :rtype: int