DataLabelingManagementClientCompositeOperations

class oci.data_labeling_service.DataLabelingManagementClientCompositeOperations(client, **kwargs)

This class provides a wrapper around DataLabelingManagementClient and offers convenience methods for operations that would otherwise need to be chained together. For example, instead of performing an action on a resource (e.g. launching an instance, creating a load balancer) and then using a waiter to wait for the resource to enter a given state, you can call a single method in this class to accomplish the same functionality

Methods

__init__(client, **kwargs)	Creates a new DataLabelingManagementClientCompositeOperations object
add_dataset_labels_and_wait_for_state(…[, …])	Calls add_dataset_labels() and waits for the WorkRequest to enter the given state(s).
change_dataset_compartment_and_wait_for_state(…)	Calls change_dataset_compartment() and waits for the WorkRequest to enter the given state(s).
create_dataset_and_wait_for_state(…[, …])	Calls create_dataset() and waits for the WorkRequest to enter the given state(s).
delete_dataset_and_wait_for_state(dataset_id)	Calls delete_dataset() and waits for the WorkRequest to enter the given state(s).
generate_dataset_records_and_wait_for_state(…)	Calls generate_dataset_records() and waits for the WorkRequest to enter the given state(s).
import_pre_annotated_data_and_wait_for_state(…)	Calls import_pre_annotated_data() and waits for the WorkRequest to enter the given state(s).
remove_dataset_labels_and_wait_for_state(…)	Calls remove_dataset_labels() and waits for the WorkRequest to enter the given state(s).
rename_dataset_labels_and_wait_for_state(…)	Calls rename_dataset_labels() and waits for the WorkRequest to enter the given state(s).
snapshot_dataset_and_wait_for_state(…[, …])	Calls snapshot_dataset() and waits for the WorkRequest to enter the given state(s).
update_dataset_and_wait_for_state(…[, …])	Calls update_dataset() and waits for the Dataset acted upon to enter the given state(s).

__init__(client, **kwargs)

Creates a new DataLabelingManagementClientCompositeOperations object

Parameters:client (DataLabelingManagementClient) – The service client which will be wrapped by this object

add_dataset_labels_and_wait_for_state(dataset_id, add_dataset_labels_details, wait_for_states=[], operation_kwargs={}, waiter_kwargs={})

Calls add_dataset_labels() and waits for the WorkRequest to enter the given state(s).

Parameters:

• dataset_id (str) – (required) Unique Dataset OCID
• add_dataset_labels_details (oci.data_labeling_service.models.AddDatasetLabelsDetails) – (required) Details for adding Labels to the LabelSet of the Dataset.
• wait_for_states (list[str]) – An array of states to wait on. These should be valid values for status
• operation_kwargs (dict) – A dictionary of keyword arguments to pass to add_dataset_labels()
• waiter_kwargs (dict) – A dictionary of keyword arguments to pass to the oci.wait_until() function. For example, you could pass max_interval_seconds or max_interval_seconds as dictionary keys to modify how long the waiter function will wait between retries and the maximum amount of time it will wait

change_dataset_compartment_and_wait_for_state(dataset_id, change_dataset_compartment_details, wait_for_states=[], operation_kwargs={}, waiter_kwargs={})

Calls change_dataset_compartment() and waits for the WorkRequest to enter the given state(s).

Parameters:

• dataset_id (str) – (required) Unique Dataset OCID
• change_dataset_compartment_details (oci.data_labeling_service.models.ChangeDatasetCompartmentDetails) – (required) Details for changing the compartment of a Dataset
• wait_for_states (list[str]) – An array of states to wait on. These should be valid values for status
• operation_kwargs (dict) – A dictionary of keyword arguments to pass to change_dataset_compartment()
• waiter_kwargs (dict) – A dictionary of keyword arguments to pass to the oci.wait_until() function. For example, you could pass max_interval_seconds or max_interval_seconds as dictionary keys to modify how long the waiter function will wait between retries and the maximum amount of time it will wait

create_dataset_and_wait_for_state(create_dataset_details, wait_for_states=[], operation_kwargs={}, waiter_kwargs={})

Calls create_dataset() and waits for the WorkRequest to enter the given state(s).

Parameters:

• create_dataset_details (oci.data_labeling_service.models.CreateDatasetDetails) – (required) Details for the new Dataset.
• wait_for_states (list[str]) – An array of states to wait on. These should be valid values for status
• operation_kwargs (dict) – A dictionary of keyword arguments to pass to create_dataset()
• waiter_kwargs (dict) – A dictionary of keyword arguments to pass to the oci.wait_until() function. For example, you could pass max_interval_seconds or max_interval_seconds as dictionary keys to modify how long the waiter function will wait between retries and the maximum amount of time it will wait

delete_dataset_and_wait_for_state(dataset_id, wait_for_states=[], operation_kwargs={}, waiter_kwargs={})

Calls delete_dataset() and waits for the WorkRequest to enter the given state(s).

Parameters:

• dataset_id (str) – (required) Unique Dataset OCID
• wait_for_states (list[str]) – An array of states to wait on. These should be valid values for status
• operation_kwargs (dict) – A dictionary of keyword arguments to pass to delete_dataset()
• waiter_kwargs (dict) – A dictionary of keyword arguments to pass to the oci.wait_until() function. For example, you could pass max_interval_seconds or max_interval_seconds as dictionary keys to modify how long the waiter function will wait between retries and the maximum amount of time it will wait

generate_dataset_records_and_wait_for_state(dataset_id, generate_dataset_records_details, wait_for_states=[], operation_kwargs={}, waiter_kwargs={})

Calls generate_dataset_records() and waits for the WorkRequest to enter the given state(s).

Parameters:

• dataset_id (str) – (required) Unique Dataset OCID
• generate_dataset_records_details (oci.data_labeling_service.models.GenerateDatasetRecordsDetails) – (required) Details for generating Dataset records.
• wait_for_states (list[str]) – An array of states to wait on. These should be valid values for status
• operation_kwargs (dict) – A dictionary of keyword arguments to pass to generate_dataset_records()
• waiter_kwargs (dict) – A dictionary of keyword arguments to pass to the oci.wait_until() function. For example, you could pass max_interval_seconds or max_interval_seconds as dictionary keys to modify how long the waiter function will wait between retries and the maximum amount of time it will wait

import_pre_annotated_data_and_wait_for_state(dataset_id, import_pre_annotated_data_details, wait_for_states=[], operation_kwargs={}, waiter_kwargs={})

Calls import_pre_annotated_data() and waits for the WorkRequest to enter the given state(s).

Parameters:

• dataset_id (str) – (required) Unique Dataset OCID
• import_pre_annotated_data_details (oci.data_labeling_service.models.ImportPreAnnotatedDataDetails) – (required) Details for importing Dataset
• wait_for_states (list[str]) – An array of states to wait on. These should be valid values for status
• operation_kwargs (dict) – A dictionary of keyword arguments to pass to import_pre_annotated_data()
• waiter_kwargs (dict) – A dictionary of keyword arguments to pass to the oci.wait_until() function. For example, you could pass max_interval_seconds or max_interval_seconds as dictionary keys to modify how long the waiter function will wait between retries and the maximum amount of time it will wait

remove_dataset_labels_and_wait_for_state(dataset_id, remove_dataset_labels_details, wait_for_states=[], operation_kwargs={}, waiter_kwargs={})

Calls remove_dataset_labels() and waits for the WorkRequest to enter the given state(s).

Parameters:

• dataset_id (str) – (required) Unique Dataset OCID
• remove_dataset_labels_details (oci.data_labeling_service.models.RemoveDatasetLabelsDetails) – (required) Details for removing Labels from the LabelSet of the Dataset.
• wait_for_states (list[str]) – An array of states to wait on. These should be valid values for status
• operation_kwargs (dict) – A dictionary of keyword arguments to pass to remove_dataset_labels()
• waiter_kwargs (dict) – A dictionary of keyword arguments to pass to the oci.wait_until() function. For example, you could pass max_interval_seconds or max_interval_seconds as dictionary keys to modify how long the waiter function will wait between retries and the maximum amount of time it will wait

rename_dataset_labels_and_wait_for_state(dataset_id, rename_dataset_labels_details, wait_for_states=[], operation_kwargs={}, waiter_kwargs={})

Calls rename_dataset_labels() and waits for the WorkRequest to enter the given state(s).

Parameters:

• dataset_id (str) – (required) Unique Dataset OCID
• rename_dataset_labels_details (oci.data_labeling_service.models.RenameDatasetLabelsDetails) – (required) Details for renaming Labels in the LabelSet of the Dataset.
• wait_for_states (list[str]) – An array of states to wait on. These should be valid values for status
• operation_kwargs (dict) – A dictionary of keyword arguments to pass to rename_dataset_labels()
• waiter_kwargs (dict) – A dictionary of keyword arguments to pass to the oci.wait_until() function. For example, you could pass max_interval_seconds or max_interval_seconds as dictionary keys to modify how long the waiter function will wait between retries and the maximum amount of time it will wait

snapshot_dataset_and_wait_for_state(dataset_id, snapshot_dataset_details, wait_for_states=[], operation_kwargs={}, waiter_kwargs={})

Calls snapshot_dataset() and waits for the WorkRequest to enter the given state(s).

Parameters:

• dataset_id (str) – (required) Unique Dataset OCID
• snapshot_dataset_details (oci.data_labeling_service.models.SnapshotDatasetDetails) – (required) Details of creating a snapshot of the Dataset’s Records and Annotations
• wait_for_states (list[str]) – An array of states to wait on. These should be valid values for status
• operation_kwargs (dict) – A dictionary of keyword arguments to pass to snapshot_dataset()
• waiter_kwargs (dict) – A dictionary of keyword arguments to pass to the oci.wait_until() function. For example, you could pass max_interval_seconds or max_interval_seconds as dictionary keys to modify how long the waiter function will wait between retries and the maximum amount of time it will wait

update_dataset_and_wait_for_state(dataset_id, update_dataset_details, wait_for_states=[], operation_kwargs={}, waiter_kwargs={})

Calls update_dataset() and waits for the Dataset acted upon to enter the given state(s).

Parameters:

• dataset_id (str) – (required) Unique Dataset OCID
• update_dataset_details (oci.data_labeling_service.models.UpdateDatasetDetails) – (required) Details for updating a Dataset.
• wait_for_states (list[str]) – An array of states to wait on. These should be valid values for lifecycle_state
• operation_kwargs (dict) – A dictionary of keyword arguments to pass to update_dataset()
• waiter_kwargs (dict) – A dictionary of keyword arguments to pass to the oci.wait_until() function. For example, you could pass max_interval_seconds or max_interval_seconds as dictionary keys to modify how long the waiter function will wait between retries and the maximum amount of time it will wait