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Edit: task_summary_from_pipeline_task.py
# coding: utf-8 # Copyright (c) 2016, 2024, Oracle and/or its affiliates. All rights reserved. # This software is dual-licensed to you under the Universal Permissive License (UPL) 1.0 as shown at https://oss.oracle.com/licenses/upl or Apache License 2.0 as shown at http://www.apache.org/licenses/LICENSE-2.0. You may choose either license. # NOTE: This class is auto generated by OracleSDKGenerator. DO NOT EDIT. API Version: 20200430 from .task_summary import TaskSummary from oci.util import formatted_flat_dict, NONE_SENTINEL, value_allowed_none_or_none_sentinel # noqa: F401 from oci.decorators import init_model_state_from_kwargs @init_model_state_from_kwargs class TaskSummaryFromPipelineTask(TaskSummary): """ The information about the pipeline task. """ def __init__(self, **kwargs): """ Initializes a new TaskSummaryFromPipelineTask object with values from keyword arguments. The default value of the :py:attr:`~oci.data_integration.models.TaskSummaryFromPipelineTask.model_type` attribute of this class is ``PIPELINE_TASK`` and it should not be changed. The following keyword arguments are supported (corresponding to the getters/setters of this class): :param model_type: The value to assign to the model_type property of this TaskSummaryFromPipelineTask. Allowed values for this property are: "INTEGRATION_TASK", "DATA_LOADER_TASK", "PIPELINE_TASK", "SQL_TASK", "OCI_DATAFLOW_TASK", "REST_TASK" :type model_type: str :param key: The value to assign to the key property of this TaskSummaryFromPipelineTask. :type key: str :param model_version: The value to assign to the model_version property of this TaskSummaryFromPipelineTask. :type model_version: str :param parent_ref: The value to assign to the parent_ref property of this TaskSummaryFromPipelineTask. :type parent_ref: oci.data_integration.models.ParentReference :param name: The value to assign to the name property of this TaskSummaryFromPipelineTask. :type name: str :param description: The value to assign to the description property of this TaskSummaryFromPipelineTask. :type description: str :param object_version: The value to assign to the object_version property of this TaskSummaryFromPipelineTask. :type object_version: int :param object_status: The value to assign to the object_status property of this TaskSummaryFromPipelineTask. :type object_status: int :param identifier: The value to assign to the identifier property of this TaskSummaryFromPipelineTask. :type identifier: str :param input_ports: The value to assign to the input_ports property of this TaskSummaryFromPipelineTask. :type input_ports: list[oci.data_integration.models.InputPort] :param output_ports: The value to assign to the output_ports property of this TaskSummaryFromPipelineTask. :type output_ports: list[oci.data_integration.models.OutputPort] :param parameters: The value to assign to the parameters property of this TaskSummaryFromPipelineTask. :type parameters: list[oci.data_integration.models.Parameter] :param op_config_values: The value to assign to the op_config_values property of this TaskSummaryFromPipelineTask. :type op_config_values: oci.data_integration.models.ConfigValues :param config_provider_delegate: The value to assign to the config_provider_delegate property of this TaskSummaryFromPipelineTask. :type config_provider_delegate: oci.data_integration.models.ConfigProvider :param is_concurrent_allowed: The value to assign to the is_concurrent_allowed property of this TaskSummaryFromPipelineTask. :type is_concurrent_allowed: bool :param metadata: The value to assign to the metadata property of this TaskSummaryFromPipelineTask. :type metadata: oci.data_integration.models.ObjectMetadata :param key_map: The value to assign to the key_map property of this TaskSummaryFromPipelineTask. :type key_map: dict(str, str) :param pipeline: The value to assign to the pipeline property of this TaskSummaryFromPipelineTask. :type pipeline: oci.data_integration.models.Pipeline """ self.swagger_types = { 'model_type': 'str', 'key': 'str', 'model_version': 'str', 'parent_ref': 'ParentReference', 'name': 'str', 'description': 'str', 'object_version': 'int', 'object_status': 'int', 'identifier': 'str', 'input_ports': 'list[InputPort]', 'output_ports': 'list[OutputPort]', 'parameters': 'list[Parameter]', 'op_config_values': 'ConfigValues', 'config_provider_delegate': 'ConfigProvider', 'is_concurrent_allowed': 'bool', 'metadata': 'ObjectMetadata', 'key_map': 'dict(str, str)', 'pipeline': 'Pipeline' } self.attribute_map = { 'model_type': 'modelType', 'key': 'key', 'model_version': 'modelVersion', 'parent_ref': 'parentRef', 'name': 'name', 'description': 'description', 'object_version': 'objectVersion', 'object_status': 'objectStatus', 'identifier': 'identifier', 'input_ports': 'inputPorts', 'output_ports': 'outputPorts', 'parameters': 'parameters', 'op_config_values': 'opConfigValues', 'config_provider_delegate': 'configProviderDelegate', 'is_concurrent_allowed': 'isConcurrentAllowed', 'metadata': 'metadata', 'key_map': 'keyMap', 'pipeline': 'pipeline' } self._model_type = None self._key = None self._model_version = None self._parent_ref = None self._name = None self._description = None self._object_version = None self._object_status = None self._identifier = None self._input_ports = None self._output_ports = None self._parameters = None self._op_config_values = None self._config_provider_delegate = None self._is_concurrent_allowed = None self._metadata = None self._key_map = None self._pipeline = None self._model_type = 'PIPELINE_TASK' @property def pipeline(self): """ Gets the pipeline of this TaskSummaryFromPipelineTask. :return: The pipeline of this TaskSummaryFromPipelineTask. :rtype: oci.data_integration.models.Pipeline """ return self._pipeline @pipeline.setter def pipeline(self, pipeline): """ Sets the pipeline of this TaskSummaryFromPipelineTask. :param pipeline: The pipeline of this TaskSummaryFromPipelineTask. :type: oci.data_integration.models.Pipeline """ self._pipeline = pipeline def __repr__(self): return formatted_flat_dict(self) def __eq__(self, other): if other is None: return False return self.__dict__ == other.__dict__ def __ne__(self, other): return not self == other