# coding: utf-8
# Copyright (c) 2016, 2026, 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: 20220101

from __future__ import print_function
import click
import oci  # noqa: F401
import six  # noqa: F401
import sys  # noqa: F401
from oci_cli.cli_root import cli
from oci_cli import cli_constants  # noqa: F401
from oci_cli import cli_util
from oci_cli import json_skeleton_utils
from oci_cli import custom_types  # noqa: F401
from oci_cli.aliasing import CommandGroupWithAlias


@cli.command(cli_util.override('speech.speech_root_group.command_name', 'speech'), cls=CommandGroupWithAlias, help=cli_util.override('speech.speech_root_group.help', """The OCI Speech Service harnesses the power of spoken language by allowing developers to easily convert file-based data containing human speech into highly accurate text transcriptions."""), short_help=cli_util.override('speech.speech_root_group.short_help', """Speech API"""))
@cli_util.help_option_group
def speech_root_group():
    pass


@click.command(cli_util.override('speech.customization_group.command_name', 'customization'), cls=CommandGroupWithAlias, help="""Description of a Customization.""")
@cli_util.help_option_group
def customization_group():
    pass


@click.command(cli_util.override('speech.realtime_session_token_group.command_name', 'realtime-session-token'), cls=CommandGroupWithAlias, help="""The response from the realtime session token endpoint that creates the auth token to be used with the realtime speech service.""")
@cli_util.help_option_group
def realtime_session_token_group():
    pass


@click.command(cli_util.override('speech.transcription_task_group.command_name', 'transcription-task'), cls=CommandGroupWithAlias, help="""Description of Transcription Task.""")
@cli_util.help_option_group
def transcription_task_group():
    pass


@click.command(cli_util.override('speech.transcription_job_group.command_name', 'transcription-job'), cls=CommandGroupWithAlias, help="""Description of Transcription Job.""")
@cli_util.help_option_group
def transcription_job_group():
    pass


@click.command(cli_util.override('speech.voice_group.command_name', 'voice'), cls=CommandGroupWithAlias, help="""""")
@cli_util.help_option_group
def voice_group():
    pass


@click.command(cli_util.override('speech.synthesize_speech_group.command_name', 'synthesize-speech'), cls=CommandGroupWithAlias, help="""""")
@cli_util.help_option_group
def synthesize_speech_group():
    pass


speech_root_group.add_command(customization_group)
speech_root_group.add_command(realtime_session_token_group)
speech_root_group.add_command(transcription_task_group)
speech_root_group.add_command(transcription_job_group)
speech_root_group.add_command(voice_group)
speech_root_group.add_command(synthesize_speech_group)


@transcription_job_group.command(name=cli_util.override('speech.cancel_transcription_job.command_name', 'cancel'), help=u"""Canceling the job cancels all the tasks under it. \n[Command Reference](cancelTranscriptionJob)""")
@cli_util.option('--transcription-job-id', required=True, help=u"""Unique Transcription Job identifier.""")
@cli_util.option('--if-match', help=u"""For optimistic concurrency control. In the PUT or DELETE call for a resource, set the `if-match` parameter to the value of the etag from a previous GET or POST response for that resource. The resource will be updated or deleted only if the etag you provide matches the resource's current etag value.""")
@json_skeleton_utils.get_cli_json_input_option({})
@cli_util.help_option
@click.pass_context
@json_skeleton_utils.json_skeleton_generation_handler(input_params_to_complex_types={})
@cli_util.wrap_exceptions
def cancel_transcription_job(ctx, from_json, transcription_job_id, if_match):

    if isinstance(transcription_job_id, six.string_types) and len(transcription_job_id.strip()) == 0:
        raise click.UsageError('Parameter --transcription-job-id cannot be whitespace or empty string')

    kwargs = {}
    if if_match is not None:
        kwargs['if_match'] = if_match
    kwargs['opc_request_id'] = cli_util.use_or_generate_request_id(ctx.obj['request_id'])
    client = cli_util.build_client('ai_speech', 'ai_service_speech', ctx)
    result = client.cancel_transcription_job(
        transcription_job_id=transcription_job_id,
        **kwargs
    )
    cli_util.render_response(result, ctx)


@transcription_task_group.command(name=cli_util.override('speech.cancel_transcription_task.command_name', 'cancel'), help=u"""Cancel Transcription Task \n[Command Reference](cancelTranscriptionTask)""")
@cli_util.option('--transcription-job-id', required=True, help=u"""Unique Transcription Job identifier.""")
@cli_util.option('--transcription-task-id', required=True, help=u"""Unique Transcription Task identifier.""")
@cli_util.option('--if-match', help=u"""For optimistic concurrency control. In the PUT or DELETE call for a resource, set the `if-match` parameter to the value of the etag from a previous GET or POST response for that resource. The resource will be updated or deleted only if the etag you provide matches the resource's current etag value.""")
@json_skeleton_utils.get_cli_json_input_option({})
@cli_util.help_option
@click.pass_context
@json_skeleton_utils.json_skeleton_generation_handler(input_params_to_complex_types={})
@cli_util.wrap_exceptions
def cancel_transcription_task(ctx, from_json, transcription_job_id, transcription_task_id, if_match):

    if isinstance(transcription_job_id, six.string_types) and len(transcription_job_id.strip()) == 0:
        raise click.UsageError('Parameter --transcription-job-id cannot be whitespace or empty string')

    if isinstance(transcription_task_id, six.string_types) and len(transcription_task_id.strip()) == 0:
        raise click.UsageError('Parameter --transcription-task-id cannot be whitespace or empty string')

    kwargs = {}
    if if_match is not None:
        kwargs['if_match'] = if_match
    kwargs['opc_request_id'] = cli_util.use_or_generate_request_id(ctx.obj['request_id'])
    client = cli_util.build_client('ai_speech', 'ai_service_speech', ctx)
    result = client.cancel_transcription_task(
        transcription_job_id=transcription_job_id,
        transcription_task_id=transcription_task_id,
        **kwargs
    )
    cli_util.render_response(result, ctx)


@customization_group.command(name=cli_util.override('speech.change_customization_compartment.command_name', 'change-compartment'), help=u"""Moves a Customization resource into a different compartment. \n[Command Reference](changeCustomizationCompartment)""")
@cli_util.option('--customization-id', required=True, help=u"""Unique Customization training Job identifier.""")
@cli_util.option('--compartment-id', required=True, help=u"""The [OCID] of the compartment where the resource should be moved.""")
@cli_util.option('--if-match', help=u"""For optimistic concurrency control. In the PUT or DELETE call for a resource, set the `if-match` parameter to the value of the etag from a previous GET or POST response for that resource. The resource will be updated or deleted only if the etag you provide matches the resource's current etag value.""")
@json_skeleton_utils.get_cli_json_input_option({})
@cli_util.help_option
@click.pass_context
@json_skeleton_utils.json_skeleton_generation_handler(input_params_to_complex_types={})
@cli_util.wrap_exceptions
def change_customization_compartment(ctx, from_json, customization_id, compartment_id, if_match):

    if isinstance(customization_id, six.string_types) and len(customization_id.strip()) == 0:
        raise click.UsageError('Parameter --customization-id cannot be whitespace or empty string')

    kwargs = {}
    if if_match is not None:
        kwargs['if_match'] = if_match
    kwargs['opc_request_id'] = cli_util.use_or_generate_request_id(ctx.obj['request_id'])

    _details = {}
    _details['compartmentId'] = compartment_id

    client = cli_util.build_client('ai_speech', 'ai_service_speech', ctx)
    result = client.change_customization_compartment(
        customization_id=customization_id,
        change_customization_compartment_details=_details,
        **kwargs
    )
    cli_util.render_response(result, ctx)


@transcription_job_group.command(name=cli_util.override('speech.change_transcription_job_compartment.command_name', 'change-compartment'), help=u"""Moves a transcription Job resource into a different compartment. \n[Command Reference](changeTranscriptionJobCompartment)""")
@cli_util.option('--transcription-job-id', required=True, help=u"""Unique Transcription Job identifier.""")
@cli_util.option('--compartment-id', required=True, help=u"""The [OCID] of the compartment where the resource should be moved.""")
@cli_util.option('--if-match', help=u"""For optimistic concurrency control. In the PUT or DELETE call for a resource, set the `if-match` parameter to the value of the etag from a previous GET or POST response for that resource. The resource will be updated or deleted only if the etag you provide matches the resource's current etag value.""")
@json_skeleton_utils.get_cli_json_input_option({})
@cli_util.help_option
@click.pass_context
@json_skeleton_utils.json_skeleton_generation_handler(input_params_to_complex_types={})
@cli_util.wrap_exceptions
def change_transcription_job_compartment(ctx, from_json, transcription_job_id, compartment_id, if_match):

    if isinstance(transcription_job_id, six.string_types) and len(transcription_job_id.strip()) == 0:
        raise click.UsageError('Parameter --transcription-job-id cannot be whitespace or empty string')

    kwargs = {}
    if if_match is not None:
        kwargs['if_match'] = if_match
    kwargs['opc_request_id'] = cli_util.use_or_generate_request_id(ctx.obj['request_id'])

    _details = {}
    _details['compartmentId'] = compartment_id

    client = cli_util.build_client('ai_speech', 'ai_service_speech', ctx)
    result = client.change_transcription_job_compartment(
        transcription_job_id=transcription_job_id,
        change_transcription_job_compartment_details=_details,
        **kwargs
    )
    cli_util.render_response(result, ctx)


@customization_group.command(name=cli_util.override('speech.create_customization.command_name', 'create'), help=u"""Creates a new Customization. \n[Command Reference](createCustomization)""")
@cli_util.option('--compartment-id', required=True, help=u"""The [OCID] of the compartment where you want to create the job.""")
@cli_util.option('--model-details', required=True, type=custom_types.CLI_COMPLEX_TYPE, help=u"""""" + custom_types.cli_complex_type.COMPLEX_TYPE_HELP)
@cli_util.option('--training-dataset', required=True, type=custom_types.CLI_COMPLEX_TYPE, help=u"""""" + custom_types.cli_complex_type.COMPLEX_TYPE_HELP)
@cli_util.option('--alias', help=u"""Customization Details Alias""")
@cli_util.option('--display-name', help=u"""A user-friendly display name for the job.""")
@cli_util.option('--description', help=u"""A short description of the job.""")
@cli_util.option('--freeform-tags', type=custom_types.CLI_COMPLEX_TYPE, help=u"""Simple key-value pair that is applied without any predefined name, type or scope. Exists for cross-compatibility only. Example: `{\"bar-key\": \"value\"}`.""" + custom_types.cli_complex_type.COMPLEX_TYPE_HELP)
@cli_util.option('--defined-tags', type=custom_types.CLI_COMPLEX_TYPE, help=u"""Defined tags for this resource. Each key is predefined and scoped to a namespace. Example: `{\"foo-namespace-1\": {\"bar-key-1\": \"value-1\", \"bar-key-2\": \"value-2\"}, \"foo-namespace-2\": {\"bar-key-1\": \"value-1\", \"bar-key-2\": \"value-2\"}}`.""" + custom_types.cli_complex_type.COMPLEX_TYPE_HELP)
@cli_util.option('--wait-for-state', type=custom_types.CliCaseInsensitiveChoice(["DELETING", "DELETED", "FAILED", "UPDATING", "ACTIVE", "CREATING"]), multiple=True, help="""This operation creates, modifies or deletes a resource that has a defined lifecycle state. Specify this option to perform the action and then wait until the resource reaches a given lifecycle state. Multiple states can be specified, returning on the first state. For example, --wait-for-state DELETING --wait-for-state CREATING would return on whichever lifecycle state is reached first. If timeout is reached, a return code of 2 is returned. For any other error, a return code of 1 is returned.""")
@cli_util.option('--max-wait-seconds', type=click.INT, help="""The maximum time to wait for the resource to reach the lifecycle state defined by --wait-for-state. Defaults to 1200 seconds.""")
@cli_util.option('--wait-interval-seconds', type=click.INT, help="""Check every --wait-interval-seconds to see whether the resource has reached the lifecycle state defined by --wait-for-state. Defaults to 30 seconds.""")
@json_skeleton_utils.get_cli_json_input_option({'model-details': {'module': 'ai_speech', 'class': 'CustomizationModelDetails'}, 'training-dataset': {'module': 'ai_speech', 'class': 'CustomizationDatasetDetails'}, 'freeform-tags': {'module': 'ai_speech', 'class': 'dict(str, string)'}, 'defined-tags': {'module': 'ai_speech', 'class': 'dict(str, dict(str, object))'}})
@cli_util.help_option
@click.pass_context
@json_skeleton_utils.json_skeleton_generation_handler(input_params_to_complex_types={'model-details': {'module': 'ai_speech', 'class': 'CustomizationModelDetails'}, 'training-dataset': {'module': 'ai_speech', 'class': 'CustomizationDatasetDetails'}, 'freeform-tags': {'module': 'ai_speech', 'class': 'dict(str, string)'}, 'defined-tags': {'module': 'ai_speech', 'class': 'dict(str, dict(str, object))'}}, output_type={'module': 'ai_speech', 'class': 'Customization'})
@cli_util.wrap_exceptions
def create_customization(ctx, from_json, wait_for_state, max_wait_seconds, wait_interval_seconds, compartment_id, model_details, training_dataset, alias, display_name, description, freeform_tags, defined_tags):

    kwargs = {}
    kwargs['opc_request_id'] = cli_util.use_or_generate_request_id(ctx.obj['request_id'])

    _details = {}
    _details['compartmentId'] = compartment_id
    _details['modelDetails'] = cli_util.parse_json_parameter("model_details", model_details)
    _details['trainingDataset'] = cli_util.parse_json_parameter("training_dataset", training_dataset)

    if alias is not None:
        _details['alias'] = alias

    if display_name is not None:
        _details['displayName'] = display_name

    if description is not None:
        _details['description'] = description

    if freeform_tags is not None:
        _details['freeformTags'] = cli_util.parse_json_parameter("freeform_tags", freeform_tags)

    if defined_tags is not None:
        _details['definedTags'] = cli_util.parse_json_parameter("defined_tags", defined_tags)

    client = cli_util.build_client('ai_speech', 'ai_service_speech', ctx)
    result = client.create_customization(
        create_customization_details=_details,
        **kwargs
    )
    if wait_for_state:

        if hasattr(client, 'get_customization') and callable(getattr(client, 'get_customization')):
            try:
                wait_period_kwargs = {}
                if max_wait_seconds is not None:
                    wait_period_kwargs['max_wait_seconds'] = max_wait_seconds
                if wait_interval_seconds is not None:
                    wait_period_kwargs['max_interval_seconds'] = wait_interval_seconds

                click.echo('Action completed. Waiting until the resource has entered state: {}'.format(wait_for_state), file=sys.stderr)
                result = oci.wait_until(client, client.get_customization(result.data.id), 'lifecycle_state', wait_for_state, **wait_period_kwargs)
            except oci.exceptions.MaximumWaitTimeExceeded as e:
                # If we fail, we should show an error, but we should still provide the information to the customer
                click.echo('Failed to wait until the resource entered the specified state. Outputting last known resource state', file=sys.stderr)
                cli_util.render_response(result, ctx)
                sys.exit(2)
            except Exception:
                click.echo('Encountered error while waiting for resource to enter the specified state. Outputting last known resource state', file=sys.stderr)
                cli_util.render_response(result, ctx)
                raise
        else:
            click.echo('Unable to wait for the resource to enter the specified state', file=sys.stderr)
    cli_util.render_response(result, ctx)


@customization_group.command(name=cli_util.override('speech.create_customization_object_storage_dataset.command_name', 'create-customization-object-storage-dataset'), help=u"""Creates a new Customization. \n[Command Reference](createCustomization)""")
@cli_util.option('--compartment-id', required=True, help=u"""The [OCID] of the compartment where you want to create the job.""")
@cli_util.option('--model-details', required=True, type=custom_types.CLI_COMPLEX_TYPE, help=u"""""" + custom_types.cli_complex_type.COMPLEX_TYPE_HELP)
@cli_util.option('--training-dataset-location-details', required=True, type=custom_types.CLI_COMPLEX_TYPE, help=u"""""" + custom_types.cli_complex_type.COMPLEX_TYPE_HELP)
@cli_util.option('--alias', help=u"""Customization Details Alias""")
@cli_util.option('--display-name', help=u"""A user-friendly display name for the job.""")
@cli_util.option('--description', help=u"""A short description of the job.""")
@cli_util.option('--freeform-tags', type=custom_types.CLI_COMPLEX_TYPE, help=u"""Simple key-value pair that is applied without any predefined name, type or scope. Exists for cross-compatibility only. Example: `{\"bar-key\": \"value\"}`.""" + custom_types.cli_complex_type.COMPLEX_TYPE_HELP)
@cli_util.option('--defined-tags', type=custom_types.CLI_COMPLEX_TYPE, help=u"""Defined tags for this resource. Each key is predefined and scoped to a namespace. Example: `{\"foo-namespace-1\": {\"bar-key-1\": \"value-1\", \"bar-key-2\": \"value-2\"}, \"foo-namespace-2\": {\"bar-key-1\": \"value-1\", \"bar-key-2\": \"value-2\"}}`.""" + custom_types.cli_complex_type.COMPLEX_TYPE_HELP)
@cli_util.option('--training-dataset-entity-type', help=u"""Entity Type categorizing the following list of words.""")
@cli_util.option('--wait-for-state', type=custom_types.CliCaseInsensitiveChoice(["DELETING", "DELETED", "FAILED", "UPDATING", "ACTIVE", "CREATING"]), multiple=True, help="""This operation creates, modifies or deletes a resource that has a defined lifecycle state. Specify this option to perform the action and then wait until the resource reaches a given lifecycle state. Multiple states can be specified, returning on the first state. For example, --wait-for-state DELETING --wait-for-state CREATING would return on whichever lifecycle state is reached first. If timeout is reached, a return code of 2 is returned. For any other error, a return code of 1 is returned.""")
@cli_util.option('--max-wait-seconds', type=click.INT, help="""The maximum time to wait for the resource to reach the lifecycle state defined by --wait-for-state. Defaults to 1200 seconds.""")
@cli_util.option('--wait-interval-seconds', type=click.INT, help="""Check every --wait-interval-seconds to see whether the resource has reached the lifecycle state defined by --wait-for-state. Defaults to 30 seconds.""")
@json_skeleton_utils.get_cli_json_input_option({'model-details': {'module': 'ai_speech', 'class': 'CustomizationModelDetails'}, 'freeform-tags': {'module': 'ai_speech', 'class': 'dict(str, string)'}, 'defined-tags': {'module': 'ai_speech', 'class': 'dict(str, dict(str, object))'}, 'training-dataset-location-details': {'module': 'ai_speech', 'class': 'LocationDetails'}})
@cli_util.help_option
@click.pass_context
@json_skeleton_utils.json_skeleton_generation_handler(input_params_to_complex_types={'model-details': {'module': 'ai_speech', 'class': 'CustomizationModelDetails'}, 'freeform-tags': {'module': 'ai_speech', 'class': 'dict(str, string)'}, 'defined-tags': {'module': 'ai_speech', 'class': 'dict(str, dict(str, object))'}, 'training-dataset-location-details': {'module': 'ai_speech', 'class': 'LocationDetails'}}, output_type={'module': 'ai_speech', 'class': 'Customization'})
@cli_util.wrap_exceptions
def create_customization_object_storage_dataset(ctx, from_json, wait_for_state, max_wait_seconds, wait_interval_seconds, compartment_id, model_details, training_dataset_location_details, alias, display_name, description, freeform_tags, defined_tags, training_dataset_entity_type):

    kwargs = {}
    kwargs['opc_request_id'] = cli_util.use_or_generate_request_id(ctx.obj['request_id'])

    _details = {}
    _details['trainingDataset'] = {}
    _details['compartmentId'] = compartment_id
    _details['modelDetails'] = cli_util.parse_json_parameter("model_details", model_details)
    _details['trainingDataset']['locationDetails'] = cli_util.parse_json_parameter("training_dataset_location_details", training_dataset_location_details)

    if alias is not None:
        _details['alias'] = alias

    if display_name is not None:
        _details['displayName'] = display_name

    if description is not None:
        _details['description'] = description

    if freeform_tags is not None:
        _details['freeformTags'] = cli_util.parse_json_parameter("freeform_tags", freeform_tags)

    if defined_tags is not None:
        _details['definedTags'] = cli_util.parse_json_parameter("defined_tags", defined_tags)

    if training_dataset_entity_type is not None:
        _details['trainingDataset']['entityType'] = training_dataset_entity_type

    _details['trainingDataset']['datasetType'] = 'OBJECT_STORAGE'

    client = cli_util.build_client('ai_speech', 'ai_service_speech', ctx)
    result = client.create_customization(
        create_customization_details=_details,
        **kwargs
    )
    if wait_for_state:

        if hasattr(client, 'get_customization') and callable(getattr(client, 'get_customization')):
            try:
                wait_period_kwargs = {}
                if max_wait_seconds is not None:
                    wait_period_kwargs['max_wait_seconds'] = max_wait_seconds
                if wait_interval_seconds is not None:
                    wait_period_kwargs['max_interval_seconds'] = wait_interval_seconds

                click.echo('Action completed. Waiting until the resource has entered state: {}'.format(wait_for_state), file=sys.stderr)
                result = oci.wait_until(client, client.get_customization(result.data.id), 'lifecycle_state', wait_for_state, **wait_period_kwargs)
            except oci.exceptions.MaximumWaitTimeExceeded as e:
                # If we fail, we should show an error, but we should still provide the information to the customer
                click.echo('Failed to wait until the resource entered the specified state. Outputting last known resource state', file=sys.stderr)
                cli_util.render_response(result, ctx)
                sys.exit(2)
            except Exception:
                click.echo('Encountered error while waiting for resource to enter the specified state. Outputting last known resource state', file=sys.stderr)
                cli_util.render_response(result, ctx)
                raise
        else:
            click.echo('Unable to wait for the resource to enter the specified state', file=sys.stderr)
    cli_util.render_response(result, ctx)


@customization_group.command(name=cli_util.override('speech.create_customization_entity_list_dataset.command_name', 'create-customization-entity-list-dataset'), help=u"""Creates a new Customization. \n[Command Reference](createCustomization)""")
@cli_util.option('--compartment-id', required=True, help=u"""The [OCID] of the compartment where you want to create the job.""")
@cli_util.option('--model-details', required=True, type=custom_types.CLI_COMPLEX_TYPE, help=u"""""" + custom_types.cli_complex_type.COMPLEX_TYPE_HELP)
@cli_util.option('--alias', help=u"""Customization Details Alias""")
@cli_util.option('--display-name', help=u"""A user-friendly display name for the job.""")
@cli_util.option('--description', help=u"""A short description of the job.""")
@cli_util.option('--freeform-tags', type=custom_types.CLI_COMPLEX_TYPE, help=u"""Simple key-value pair that is applied without any predefined name, type or scope. Exists for cross-compatibility only. Example: `{\"bar-key\": \"value\"}`.""" + custom_types.cli_complex_type.COMPLEX_TYPE_HELP)
@cli_util.option('--defined-tags', type=custom_types.CLI_COMPLEX_TYPE, help=u"""Defined tags for this resource. Each key is predefined and scoped to a namespace. Example: `{\"foo-namespace-1\": {\"bar-key-1\": \"value-1\", \"bar-key-2\": \"value-2\"}, \"foo-namespace-2\": {\"bar-key-1\": \"value-1\", \"bar-key-2\": \"value-2\"}}`.""" + custom_types.cli_complex_type.COMPLEX_TYPE_HELP)
@cli_util.option('--training-dataset-reference-examples', type=custom_types.CLI_COMPLEX_TYPE, help=u"""List of sentences referencing 1 or more entityType matching those defined in the linked entityLists, used to improve accuracy by providing model training context of where/how an entity may appear in a sentence. EntityTypes referenced in sentences should be written in all caps surrounded by angled braces (i.e \"<PATIENT>\" if entityType=patient)""" + custom_types.cli_complex_type.COMPLEX_TYPE_HELP)
@cli_util.option('--training-dataset-entity-list', type=custom_types.CLI_COMPLEX_TYPE, help=u"""Array of entityLists

This option is a JSON list with items of type EntityList.  For documentation on EntityList please see our API reference: https://docs.oracle.com/en-us/iaas/api/#/en/aiservicespeech/20220101/datatypes/EntityList.""" + custom_types.cli_complex_type.COMPLEX_TYPE_HELP)
@cli_util.option('--wait-for-state', type=custom_types.CliCaseInsensitiveChoice(["DELETING", "DELETED", "FAILED", "UPDATING", "ACTIVE", "CREATING"]), multiple=True, help="""This operation creates, modifies or deletes a resource that has a defined lifecycle state. Specify this option to perform the action and then wait until the resource reaches a given lifecycle state. Multiple states can be specified, returning on the first state. For example, --wait-for-state DELETING --wait-for-state CREATING would return on whichever lifecycle state is reached first. If timeout is reached, a return code of 2 is returned. For any other error, a return code of 1 is returned.""")
@cli_util.option('--max-wait-seconds', type=click.INT, help="""The maximum time to wait for the resource to reach the lifecycle state defined by --wait-for-state. Defaults to 1200 seconds.""")
@cli_util.option('--wait-interval-seconds', type=click.INT, help="""Check every --wait-interval-seconds to see whether the resource has reached the lifecycle state defined by --wait-for-state. Defaults to 30 seconds.""")
@json_skeleton_utils.get_cli_json_input_option({'model-details': {'module': 'ai_speech', 'class': 'CustomizationModelDetails'}, 'freeform-tags': {'module': 'ai_speech', 'class': 'dict(str, string)'}, 'defined-tags': {'module': 'ai_speech', 'class': 'dict(str, dict(str, object))'}, 'training-dataset-reference-examples': {'module': 'ai_speech', 'class': 'list[string]'}, 'training-dataset-entity-list': {'module': 'ai_speech', 'class': 'list[EntityList]'}})
@cli_util.help_option
@click.pass_context
@json_skeleton_utils.json_skeleton_generation_handler(input_params_to_complex_types={'model-details': {'module': 'ai_speech', 'class': 'CustomizationModelDetails'}, 'freeform-tags': {'module': 'ai_speech', 'class': 'dict(str, string)'}, 'defined-tags': {'module': 'ai_speech', 'class': 'dict(str, dict(str, object))'}, 'training-dataset-reference-examples': {'module': 'ai_speech', 'class': 'list[string]'}, 'training-dataset-entity-list': {'module': 'ai_speech', 'class': 'list[EntityList]'}}, output_type={'module': 'ai_speech', 'class': 'Customization'})
@cli_util.wrap_exceptions
def create_customization_entity_list_dataset(ctx, from_json, wait_for_state, max_wait_seconds, wait_interval_seconds, compartment_id, model_details, alias, display_name, description, freeform_tags, defined_tags, training_dataset_reference_examples, training_dataset_entity_list):

    kwargs = {}
    kwargs['opc_request_id'] = cli_util.use_or_generate_request_id(ctx.obj['request_id'])

    _details = {}
    _details['trainingDataset'] = {}
    _details['compartmentId'] = compartment_id
    _details['modelDetails'] = cli_util.parse_json_parameter("model_details", model_details)

    if alias is not None:
        _details['alias'] = alias

    if display_name is not None:
        _details['displayName'] = display_name

    if description is not None:
        _details['description'] = description

    if freeform_tags is not None:
        _details['freeformTags'] = cli_util.parse_json_parameter("freeform_tags", freeform_tags)

    if defined_tags is not None:
        _details['definedTags'] = cli_util.parse_json_parameter("defined_tags", defined_tags)

    if training_dataset_reference_examples is not None:
        _details['trainingDataset']['referenceExamples'] = cli_util.parse_json_parameter("training_dataset_reference_examples", training_dataset_reference_examples)

    if training_dataset_entity_list is not None:
        _details['trainingDataset']['entityList'] = cli_util.parse_json_parameter("training_dataset_entity_list", training_dataset_entity_list)

    _details['trainingDataset']['datasetType'] = 'ENTITY_LIST'

    client = cli_util.build_client('ai_speech', 'ai_service_speech', ctx)
    result = client.create_customization(
        create_customization_details=_details,
        **kwargs
    )
    if wait_for_state:

        if hasattr(client, 'get_customization') and callable(getattr(client, 'get_customization')):
            try:
                wait_period_kwargs = {}
                if max_wait_seconds is not None:
                    wait_period_kwargs['max_wait_seconds'] = max_wait_seconds
                if wait_interval_seconds is not None:
                    wait_period_kwargs['max_interval_seconds'] = wait_interval_seconds

                click.echo('Action completed. Waiting until the resource has entered state: {}'.format(wait_for_state), file=sys.stderr)
                result = oci.wait_until(client, client.get_customization(result.data.id), 'lifecycle_state', wait_for_state, **wait_period_kwargs)
            except oci.exceptions.MaximumWaitTimeExceeded as e:
                # If we fail, we should show an error, but we should still provide the information to the customer
                click.echo('Failed to wait until the resource entered the specified state. Outputting last known resource state', file=sys.stderr)
                cli_util.render_response(result, ctx)
                sys.exit(2)
            except Exception:
                click.echo('Encountered error while waiting for resource to enter the specified state. Outputting last known resource state', file=sys.stderr)
                cli_util.render_response(result, ctx)
                raise
        else:
            click.echo('Unable to wait for the resource to enter the specified state', file=sys.stderr)
    cli_util.render_response(result, ctx)


@realtime_session_token_group.command(name=cli_util.override('speech.create_realtime_session_token.command_name', 'create'), help=u"""Returns an authentication token to the user. \n[Command Reference](createRealtimeSessionToken)""")
@cli_util.option('--compartment-id', required=True, help=u"""The [OCID] of the compartment where you want to create the job.""")
@cli_util.option('--freeform-tags', type=custom_types.CLI_COMPLEX_TYPE, help=u"""Simple key-value pair that is applied without any predefined name, type or scope. Exists for cross-compatibility only. Example: `{\"bar-key\": \"value\"}`.""" + custom_types.cli_complex_type.COMPLEX_TYPE_HELP)
@cli_util.option('--defined-tags', type=custom_types.CLI_COMPLEX_TYPE, help=u"""Defined tags for this resource. Each key is predefined and scoped to a namespace. Example: `{\"foo-namespace-1\": {\"bar-key-1\": \"value-1\", \"bar-key-2\": \"value-2\"}, \"foo-namespace-2\": {\"bar-key-1\": \"value-1\", \"bar-key-2\": \"value-2\"}}`.""" + custom_types.cli_complex_type.COMPLEX_TYPE_HELP)
@json_skeleton_utils.get_cli_json_input_option({'freeform-tags': {'module': 'ai_speech', 'class': 'dict(str, string)'}, 'defined-tags': {'module': 'ai_speech', 'class': 'dict(str, dict(str, object))'}})
@cli_util.help_option
@click.pass_context
@json_skeleton_utils.json_skeleton_generation_handler(input_params_to_complex_types={'freeform-tags': {'module': 'ai_speech', 'class': 'dict(str, string)'}, 'defined-tags': {'module': 'ai_speech', 'class': 'dict(str, dict(str, object))'}}, output_type={'module': 'ai_speech', 'class': 'RealtimeSessionToken'})
@cli_util.wrap_exceptions
def create_realtime_session_token(ctx, from_json, compartment_id, freeform_tags, defined_tags):

    kwargs = {}
    kwargs['opc_request_id'] = cli_util.use_or_generate_request_id(ctx.obj['request_id'])

    _details = {}
    _details['compartmentId'] = compartment_id

    if freeform_tags is not None:
        _details['freeformTags'] = cli_util.parse_json_parameter("freeform_tags", freeform_tags)

    if defined_tags is not None:
        _details['definedTags'] = cli_util.parse_json_parameter("defined_tags", defined_tags)

    client = cli_util.build_client('ai_speech', 'ai_service_speech', ctx)
    result = client.create_realtime_session_token(
        create_realtime_session_token_details=_details,
        **kwargs
    )
    cli_util.render_response(result, ctx)


@transcription_job_group.command(name=cli_util.override('speech.create_transcription_job.command_name', 'create'), help=u"""Creates a new Transcription Job. \n[Command Reference](createTranscriptionJob)""")
@cli_util.option('--compartment-id', required=True, help=u"""The [OCID] of the compartment where you want to create the job.""")
@cli_util.option('--input-location', required=True, type=custom_types.CLI_COMPLEX_TYPE, help=u"""""" + custom_types.cli_complex_type.COMPLEX_TYPE_HELP)
@cli_util.option('--output-location', required=True, type=custom_types.CLI_COMPLEX_TYPE, help=u"""""" + custom_types.cli_complex_type.COMPLEX_TYPE_HELP)
@cli_util.option('--display-name', help=u"""A user-friendly display name for the job.""")
@cli_util.option('--description', help=u"""A short description of the job.""")
@cli_util.option('--additional-transcription-formats', type=custom_types.CliCaseInsensitiveChoice(["SRT"]), help=u"""Transcription Format. By default, the JSON format is used.""")
@cli_util.option('--model-details', type=custom_types.CLI_COMPLEX_TYPE, help=u"""""" + custom_types.cli_complex_type.COMPLEX_TYPE_HELP)
@cli_util.option('--normalization', type=custom_types.CLI_COMPLEX_TYPE, help=u"""""" + custom_types.cli_complex_type.COMPLEX_TYPE_HELP)
@cli_util.option('--freeform-tags', type=custom_types.CLI_COMPLEX_TYPE, help=u"""Simple key-value pair that is applied without any predefined name, type or scope. Exists for cross-compatibility only. Example: `{\"bar-key\": \"value\"}`.""" + custom_types.cli_complex_type.COMPLEX_TYPE_HELP)
@cli_util.option('--defined-tags', type=custom_types.CLI_COMPLEX_TYPE, help=u"""Defined tags for this resource. Each key is predefined and scoped to a namespace. Example: `{\"foo-namespace-1\": {\"bar-key-1\": \"value-1\", \"bar-key-2\": \"value-2\"}, \"foo-namespace-2\": {\"bar-key-1\": \"value-1\", \"bar-key-2\": \"value-2\"}}`.""" + custom_types.cli_complex_type.COMPLEX_TYPE_HELP)
@cli_util.option('--wait-for-state', type=custom_types.CliCaseInsensitiveChoice(["ACCEPTED", "IN_PROGRESS", "SUCCEEDED", "FAILED", "CANCELING", "CANCELED"]), multiple=True, help="""This operation creates, modifies or deletes a resource that has a defined lifecycle state. Specify this option to perform the action and then wait until the resource reaches a given lifecycle state. Multiple states can be specified, returning on the first state. For example, --wait-for-state ACCEPTED --wait-for-state CANCELED would return on whichever lifecycle state is reached first. If timeout is reached, a return code of 2 is returned. For any other error, a return code of 1 is returned.""")
@cli_util.option('--max-wait-seconds', type=click.INT, help="""The maximum time to wait for the resource to reach the lifecycle state defined by --wait-for-state. Defaults to 1200 seconds.""")
@cli_util.option('--wait-interval-seconds', type=click.INT, help="""Check every --wait-interval-seconds to see whether the resource has reached the lifecycle state defined by --wait-for-state. Defaults to 30 seconds.""")
@json_skeleton_utils.get_cli_json_input_option({'model-details': {'module': 'ai_speech', 'class': 'TranscriptionModelDetails'}, 'normalization': {'module': 'ai_speech', 'class': 'TranscriptionNormalization'}, 'input-location': {'module': 'ai_speech', 'class': 'InputLocation'}, 'output-location': {'module': 'ai_speech', 'class': 'OutputLocation'}, 'freeform-tags': {'module': 'ai_speech', 'class': 'dict(str, string)'}, 'defined-tags': {'module': 'ai_speech', 'class': 'dict(str, dict(str, object))'}})
@cli_util.help_option
@click.pass_context
@json_skeleton_utils.json_skeleton_generation_handler(input_params_to_complex_types={'model-details': {'module': 'ai_speech', 'class': 'TranscriptionModelDetails'}, 'normalization': {'module': 'ai_speech', 'class': 'TranscriptionNormalization'}, 'input-location': {'module': 'ai_speech', 'class': 'InputLocation'}, 'output-location': {'module': 'ai_speech', 'class': 'OutputLocation'}, 'freeform-tags': {'module': 'ai_speech', 'class': 'dict(str, string)'}, 'defined-tags': {'module': 'ai_speech', 'class': 'dict(str, dict(str, object))'}}, output_type={'module': 'ai_speech', 'class': 'TranscriptionJob'})
@cli_util.wrap_exceptions
def create_transcription_job(ctx, from_json, wait_for_state, max_wait_seconds, wait_interval_seconds, compartment_id, input_location, output_location, display_name, description, additional_transcription_formats, model_details, normalization, freeform_tags, defined_tags):

    kwargs = {}
    kwargs['opc_request_id'] = cli_util.use_or_generate_request_id(ctx.obj['request_id'])

    _details = {}
    _details['compartmentId'] = compartment_id
    _details['inputLocation'] = cli_util.parse_json_parameter("input_location", input_location)
    _details['outputLocation'] = cli_util.parse_json_parameter("output_location", output_location)

    if display_name is not None:
        _details['displayName'] = display_name

    if description is not None:
        _details['description'] = description

    if additional_transcription_formats is not None:
        _details['additionalTranscriptionFormats'] = cli_util.parse_json_parameter("additional_transcription_formats", additional_transcription_formats)

    if model_details is not None:
        _details['modelDetails'] = cli_util.parse_json_parameter("model_details", model_details)

    if normalization is not None:
        _details['normalization'] = cli_util.parse_json_parameter("normalization", normalization)

    if freeform_tags is not None:
        _details['freeformTags'] = cli_util.parse_json_parameter("freeform_tags", freeform_tags)

    if defined_tags is not None:
        _details['definedTags'] = cli_util.parse_json_parameter("defined_tags", defined_tags)

    client = cli_util.build_client('ai_speech', 'ai_service_speech', ctx)
    result = client.create_transcription_job(
        create_transcription_job_details=_details,
        **kwargs
    )
    if wait_for_state:

        if hasattr(client, 'get_transcription_job') and callable(getattr(client, 'get_transcription_job')):
            try:
                wait_period_kwargs = {}
                if max_wait_seconds is not None:
                    wait_period_kwargs['max_wait_seconds'] = max_wait_seconds
                if wait_interval_seconds is not None:
                    wait_period_kwargs['max_interval_seconds'] = wait_interval_seconds

                click.echo('Action completed. Waiting until the resource has entered state: {}'.format(wait_for_state), file=sys.stderr)
                result = oci.wait_until(client, client.get_transcription_job(result.data.id), 'lifecycle_state', wait_for_state, **wait_period_kwargs)
            except oci.exceptions.MaximumWaitTimeExceeded as e:
                # If we fail, we should show an error, but we should still provide the information to the customer
                click.echo('Failed to wait until the resource entered the specified state. Outputting last known resource state', file=sys.stderr)
                cli_util.render_response(result, ctx)
                sys.exit(2)
            except Exception:
                click.echo('Encountered error while waiting for resource to enter the specified state. Outputting last known resource state', file=sys.stderr)
                cli_util.render_response(result, ctx)
                raise
        else:
            click.echo('Unable to wait for the resource to enter the specified state', file=sys.stderr)
    cli_util.render_response(result, ctx)


@transcription_job_group.command(name=cli_util.override('speech.create_transcription_job_object_list_file_input_location.command_name', 'create-transcription-job-object-list-file-input-location'), help=u"""Creates a new Transcription Job. \n[Command Reference](createTranscriptionJob)""")
@cli_util.option('--compartment-id', required=True, help=u"""The [OCID] of the compartment where you want to create the job.""")
@cli_util.option('--output-location', required=True, type=custom_types.CLI_COMPLEX_TYPE, help=u"""""" + custom_types.cli_complex_type.COMPLEX_TYPE_HELP)
@cli_util.option('--input-location-object-location', required=True, type=custom_types.CLI_COMPLEX_TYPE, help=u"""""" + custom_types.cli_complex_type.COMPLEX_TYPE_HELP)
@cli_util.option('--display-name', help=u"""A user-friendly display name for the job.""")
@cli_util.option('--description', help=u"""A short description of the job.""")
@cli_util.option('--additional-transcription-formats', type=custom_types.CliCaseInsensitiveChoice(["SRT"]), help=u"""Transcription Format. By default, the JSON format is used.""")
@cli_util.option('--model-details', type=custom_types.CLI_COMPLEX_TYPE, help=u"""""" + custom_types.cli_complex_type.COMPLEX_TYPE_HELP)
@cli_util.option('--normalization', type=custom_types.CLI_COMPLEX_TYPE, help=u"""""" + custom_types.cli_complex_type.COMPLEX_TYPE_HELP)
@cli_util.option('--freeform-tags', type=custom_types.CLI_COMPLEX_TYPE, help=u"""Simple key-value pair that is applied without any predefined name, type or scope. Exists for cross-compatibility only. Example: `{\"bar-key\": \"value\"}`.""" + custom_types.cli_complex_type.COMPLEX_TYPE_HELP)
@cli_util.option('--defined-tags', type=custom_types.CLI_COMPLEX_TYPE, help=u"""Defined tags for this resource. Each key is predefined and scoped to a namespace. Example: `{\"foo-namespace-1\": {\"bar-key-1\": \"value-1\", \"bar-key-2\": \"value-2\"}, \"foo-namespace-2\": {\"bar-key-1\": \"value-1\", \"bar-key-2\": \"value-2\"}}`.""" + custom_types.cli_complex_type.COMPLEX_TYPE_HELP)
@cli_util.option('--wait-for-state', type=custom_types.CliCaseInsensitiveChoice(["ACCEPTED", "IN_PROGRESS", "SUCCEEDED", "FAILED", "CANCELING", "CANCELED"]), multiple=True, help="""This operation creates, modifies or deletes a resource that has a defined lifecycle state. Specify this option to perform the action and then wait until the resource reaches a given lifecycle state. Multiple states can be specified, returning on the first state. For example, --wait-for-state ACCEPTED --wait-for-state CANCELED would return on whichever lifecycle state is reached first. If timeout is reached, a return code of 2 is returned. For any other error, a return code of 1 is returned.""")
@cli_util.option('--max-wait-seconds', type=click.INT, help="""The maximum time to wait for the resource to reach the lifecycle state defined by --wait-for-state. Defaults to 1200 seconds.""")
@cli_util.option('--wait-interval-seconds', type=click.INT, help="""Check every --wait-interval-seconds to see whether the resource has reached the lifecycle state defined by --wait-for-state. Defaults to 30 seconds.""")
@json_skeleton_utils.get_cli_json_input_option({'model-details': {'module': 'ai_speech', 'class': 'TranscriptionModelDetails'}, 'normalization': {'module': 'ai_speech', 'class': 'TranscriptionNormalization'}, 'output-location': {'module': 'ai_speech', 'class': 'OutputLocation'}, 'freeform-tags': {'module': 'ai_speech', 'class': 'dict(str, string)'}, 'defined-tags': {'module': 'ai_speech', 'class': 'dict(str, dict(str, object))'}, 'input-location-object-location': {'module': 'ai_speech', 'class': 'ObjectLocation'}})
@cli_util.help_option
@click.pass_context
@json_skeleton_utils.json_skeleton_generation_handler(input_params_to_complex_types={'model-details': {'module': 'ai_speech', 'class': 'TranscriptionModelDetails'}, 'normalization': {'module': 'ai_speech', 'class': 'TranscriptionNormalization'}, 'output-location': {'module': 'ai_speech', 'class': 'OutputLocation'}, 'freeform-tags': {'module': 'ai_speech', 'class': 'dict(str, string)'}, 'defined-tags': {'module': 'ai_speech', 'class': 'dict(str, dict(str, object))'}, 'input-location-object-location': {'module': 'ai_speech', 'class': 'ObjectLocation'}}, output_type={'module': 'ai_speech', 'class': 'TranscriptionJob'})
@cli_util.wrap_exceptions
def create_transcription_job_object_list_file_input_location(ctx, from_json, wait_for_state, max_wait_seconds, wait_interval_seconds, compartment_id, output_location, input_location_object_location, display_name, description, additional_transcription_formats, model_details, normalization, freeform_tags, defined_tags):

    kwargs = {}
    kwargs['opc_request_id'] = cli_util.use_or_generate_request_id(ctx.obj['request_id'])

    _details = {}
    _details['inputLocation'] = {}
    _details['compartmentId'] = compartment_id
    _details['outputLocation'] = cli_util.parse_json_parameter("output_location", output_location)
    _details['inputLocation']['objectLocation'] = cli_util.parse_json_parameter("input_location_object_location", input_location_object_location)

    if display_name is not None:
        _details['displayName'] = display_name

    if description is not None:
        _details['description'] = description

    if additional_transcription_formats is not None:
        _details['additionalTranscriptionFormats'] = cli_util.parse_json_parameter("additional_transcription_formats", additional_transcription_formats)

    if model_details is not None:
        _details['modelDetails'] = cli_util.parse_json_parameter("model_details", model_details)

    if normalization is not None:
        _details['normalization'] = cli_util.parse_json_parameter("normalization", normalization)

    if freeform_tags is not None:
        _details['freeformTags'] = cli_util.parse_json_parameter("freeform_tags", freeform_tags)

    if defined_tags is not None:
        _details['definedTags'] = cli_util.parse_json_parameter("defined_tags", defined_tags)

    _details['inputLocation']['locationType'] = 'OBJECT_LIST_FILE_INPUT_LOCATION'

    client = cli_util.build_client('ai_speech', 'ai_service_speech', ctx)
    result = client.create_transcription_job(
        create_transcription_job_details=_details,
        **kwargs
    )
    if wait_for_state:

        if hasattr(client, 'get_transcription_job') and callable(getattr(client, 'get_transcription_job')):
            try:
                wait_period_kwargs = {}
                if max_wait_seconds is not None:
                    wait_period_kwargs['max_wait_seconds'] = max_wait_seconds
                if wait_interval_seconds is not None:
                    wait_period_kwargs['max_interval_seconds'] = wait_interval_seconds

                click.echo('Action completed. Waiting until the resource has entered state: {}'.format(wait_for_state), file=sys.stderr)
                result = oci.wait_until(client, client.get_transcription_job(result.data.id), 'lifecycle_state', wait_for_state, **wait_period_kwargs)
            except oci.exceptions.MaximumWaitTimeExceeded as e:
                # If we fail, we should show an error, but we should still provide the information to the customer
                click.echo('Failed to wait until the resource entered the specified state. Outputting last known resource state', file=sys.stderr)
                cli_util.render_response(result, ctx)
                sys.exit(2)
            except Exception:
                click.echo('Encountered error while waiting for resource to enter the specified state. Outputting last known resource state', file=sys.stderr)
                cli_util.render_response(result, ctx)
                raise
        else:
            click.echo('Unable to wait for the resource to enter the specified state', file=sys.stderr)
    cli_util.render_response(result, ctx)


@transcription_job_group.command(name=cli_util.override('speech.create_transcription_job_object_list_inline_input_location.command_name', 'create-transcription-job-object-list-inline-input-location'), help=u"""Creates a new Transcription Job. \n[Command Reference](createTranscriptionJob)""")
@cli_util.option('--compartment-id', required=True, help=u"""The [OCID] of the compartment where you want to create the job.""")
@cli_util.option('--output-location', required=True, type=custom_types.CLI_COMPLEX_TYPE, help=u"""""" + custom_types.cli_complex_type.COMPLEX_TYPE_HELP)
@cli_util.option('--input-location-object-locations', required=True, type=custom_types.CLI_COMPLEX_TYPE, help=u"""A list of ObjectLocations.""" + custom_types.cli_complex_type.COMPLEX_TYPE_HELP)
@cli_util.option('--display-name', help=u"""A user-friendly display name for the job.""")
@cli_util.option('--description', help=u"""A short description of the job.""")
@cli_util.option('--additional-transcription-formats', type=custom_types.CliCaseInsensitiveChoice(["SRT"]), help=u"""Transcription Format. By default, the JSON format is used.""")
@cli_util.option('--model-details', type=custom_types.CLI_COMPLEX_TYPE, help=u"""""" + custom_types.cli_complex_type.COMPLEX_TYPE_HELP)
@cli_util.option('--normalization', type=custom_types.CLI_COMPLEX_TYPE, help=u"""""" + custom_types.cli_complex_type.COMPLEX_TYPE_HELP)
@cli_util.option('--freeform-tags', type=custom_types.CLI_COMPLEX_TYPE, help=u"""Simple key-value pair that is applied without any predefined name, type or scope. Exists for cross-compatibility only. Example: `{\"bar-key\": \"value\"}`.""" + custom_types.cli_complex_type.COMPLEX_TYPE_HELP)
@cli_util.option('--defined-tags', type=custom_types.CLI_COMPLEX_TYPE, help=u"""Defined tags for this resource. Each key is predefined and scoped to a namespace. Example: `{\"foo-namespace-1\": {\"bar-key-1\": \"value-1\", \"bar-key-2\": \"value-2\"}, \"foo-namespace-2\": {\"bar-key-1\": \"value-1\", \"bar-key-2\": \"value-2\"}}`.""" + custom_types.cli_complex_type.COMPLEX_TYPE_HELP)
@cli_util.option('--wait-for-state', type=custom_types.CliCaseInsensitiveChoice(["ACCEPTED", "IN_PROGRESS", "SUCCEEDED", "FAILED", "CANCELING", "CANCELED"]), multiple=True, help="""This operation creates, modifies or deletes a resource that has a defined lifecycle state. Specify this option to perform the action and then wait until the resource reaches a given lifecycle state. Multiple states can be specified, returning on the first state. For example, --wait-for-state ACCEPTED --wait-for-state CANCELED would return on whichever lifecycle state is reached first. If timeout is reached, a return code of 2 is returned. For any other error, a return code of 1 is returned.""")
@cli_util.option('--max-wait-seconds', type=click.INT, help="""The maximum time to wait for the resource to reach the lifecycle state defined by --wait-for-state. Defaults to 1200 seconds.""")
@cli_util.option('--wait-interval-seconds', type=click.INT, help="""Check every --wait-interval-seconds to see whether the resource has reached the lifecycle state defined by --wait-for-state. Defaults to 30 seconds.""")
@json_skeleton_utils.get_cli_json_input_option({'model-details': {'module': 'ai_speech', 'class': 'TranscriptionModelDetails'}, 'normalization': {'module': 'ai_speech', 'class': 'TranscriptionNormalization'}, 'output-location': {'module': 'ai_speech', 'class': 'OutputLocation'}, 'freeform-tags': {'module': 'ai_speech', 'class': 'dict(str, string)'}, 'defined-tags': {'module': 'ai_speech', 'class': 'dict(str, dict(str, object))'}, 'input-location-object-locations': {'module': 'ai_speech', 'class': 'list[ObjectLocation]'}})
@cli_util.help_option
@click.pass_context
@json_skeleton_utils.json_skeleton_generation_handler(input_params_to_complex_types={'model-details': {'module': 'ai_speech', 'class': 'TranscriptionModelDetails'}, 'normalization': {'module': 'ai_speech', 'class': 'TranscriptionNormalization'}, 'output-location': {'module': 'ai_speech', 'class': 'OutputLocation'}, 'freeform-tags': {'module': 'ai_speech', 'class': 'dict(str, string)'}, 'defined-tags': {'module': 'ai_speech', 'class': 'dict(str, dict(str, object))'}, 'input-location-object-locations': {'module': 'ai_speech', 'class': 'list[ObjectLocation]'}}, output_type={'module': 'ai_speech', 'class': 'TranscriptionJob'})
@cli_util.wrap_exceptions
def create_transcription_job_object_list_inline_input_location(ctx, from_json, wait_for_state, max_wait_seconds, wait_interval_seconds, compartment_id, output_location, input_location_object_locations, display_name, description, additional_transcription_formats, model_details, normalization, freeform_tags, defined_tags):

    kwargs = {}
    kwargs['opc_request_id'] = cli_util.use_or_generate_request_id(ctx.obj['request_id'])

    _details = {}
    _details['inputLocation'] = {}
    _details['compartmentId'] = compartment_id
    _details['outputLocation'] = cli_util.parse_json_parameter("output_location", output_location)
    _details['inputLocation']['objectLocations'] = cli_util.parse_json_parameter("input_location_object_locations", input_location_object_locations)

    if display_name is not None:
        _details['displayName'] = display_name

    if description is not None:
        _details['description'] = description

    if additional_transcription_formats is not None:
        _details['additionalTranscriptionFormats'] = cli_util.parse_json_parameter("additional_transcription_formats", additional_transcription_formats)

    if model_details is not None:
        _details['modelDetails'] = cli_util.parse_json_parameter("model_details", model_details)

    if normalization is not None:
        _details['normalization'] = cli_util.parse_json_parameter("normalization", normalization)

    if freeform_tags is not None:
        _details['freeformTags'] = cli_util.parse_json_parameter("freeform_tags", freeform_tags)

    if defined_tags is not None:
        _details['definedTags'] = cli_util.parse_json_parameter("defined_tags", defined_tags)

    _details['inputLocation']['locationType'] = 'OBJECT_LIST_INLINE_INPUT_LOCATION'

    client = cli_util.build_client('ai_speech', 'ai_service_speech', ctx)
    result = client.create_transcription_job(
        create_transcription_job_details=_details,
        **kwargs
    )
    if wait_for_state:

        if hasattr(client, 'get_transcription_job') and callable(getattr(client, 'get_transcription_job')):
            try:
                wait_period_kwargs = {}
                if max_wait_seconds is not None:
                    wait_period_kwargs['max_wait_seconds'] = max_wait_seconds
                if wait_interval_seconds is not None:
                    wait_period_kwargs['max_interval_seconds'] = wait_interval_seconds

                click.echo('Action completed. Waiting until the resource has entered state: {}'.format(wait_for_state), file=sys.stderr)
                result = oci.wait_until(client, client.get_transcription_job(result.data.id), 'lifecycle_state', wait_for_state, **wait_period_kwargs)
            except oci.exceptions.MaximumWaitTimeExceeded as e:
                # If we fail, we should show an error, but we should still provide the information to the customer
                click.echo('Failed to wait until the resource entered the specified state. Outputting last known resource state', file=sys.stderr)
                cli_util.render_response(result, ctx)
                sys.exit(2)
            except Exception:
                click.echo('Encountered error while waiting for resource to enter the specified state. Outputting last known resource state', file=sys.stderr)
                cli_util.render_response(result, ctx)
                raise
        else:
            click.echo('Unable to wait for the resource to enter the specified state', file=sys.stderr)
    cli_util.render_response(result, ctx)


@customization_group.command(name=cli_util.override('speech.delete_customization.command_name', 'delete'), help=u"""Delete Customization and its metadata from tenancy. \n[Command Reference](deleteCustomization)""")
@cli_util.option('--customization-id', required=True, help=u"""Unique Customization training Job identifier.""")
@cli_util.option('--if-match', help=u"""For optimistic concurrency control. In the PUT or DELETE call for a resource, set the `if-match` parameter to the value of the etag from a previous GET or POST response for that resource. The resource will be updated or deleted only if the etag you provide matches the resource's current etag value.""")
@cli_util.confirm_delete_option
@cli_util.option('--wait-for-state', type=custom_types.CliCaseInsensitiveChoice(["DELETING", "DELETED", "FAILED", "UPDATING", "ACTIVE", "CREATING"]), multiple=True, help="""This operation creates, modifies or deletes a resource that has a defined lifecycle state. Specify this option to perform the action and then wait until the resource reaches a given lifecycle state. Multiple states can be specified, returning on the first state. For example, --wait-for-state DELETING --wait-for-state CREATING would return on whichever lifecycle state is reached first. If timeout is reached, a return code of 2 is returned. For any other error, a return code of 1 is returned.""")
@cli_util.option('--max-wait-seconds', type=click.INT, help="""The maximum time to wait for the resource to reach the lifecycle state defined by --wait-for-state. Defaults to 1200 seconds.""")
@cli_util.option('--wait-interval-seconds', type=click.INT, help="""Check every --wait-interval-seconds to see whether the resource has reached the lifecycle state defined by --wait-for-state. Defaults to 30 seconds.""")
@json_skeleton_utils.get_cli_json_input_option({})
@cli_util.help_option
@click.pass_context
@json_skeleton_utils.json_skeleton_generation_handler(input_params_to_complex_types={})
@cli_util.wrap_exceptions
def delete_customization(ctx, from_json, wait_for_state, max_wait_seconds, wait_interval_seconds, customization_id, if_match):

    if isinstance(customization_id, six.string_types) and len(customization_id.strip()) == 0:
        raise click.UsageError('Parameter --customization-id cannot be whitespace or empty string')

    kwargs = {}
    if if_match is not None:
        kwargs['if_match'] = if_match
    kwargs['opc_request_id'] = cli_util.use_or_generate_request_id(ctx.obj['request_id'])
    client = cli_util.build_client('ai_speech', 'ai_service_speech', ctx)
    result = client.delete_customization(
        customization_id=customization_id,
        **kwargs
    )
    if wait_for_state:

        if hasattr(client, 'get_customization') and callable(getattr(client, 'get_customization')):
            try:
                wait_period_kwargs = {}
                if max_wait_seconds is not None:
                    wait_period_kwargs['max_wait_seconds'] = max_wait_seconds
                if wait_interval_seconds is not None:
                    wait_period_kwargs['max_interval_seconds'] = wait_interval_seconds

                click.echo('Action completed. Waiting until the resource has entered state: {}'.format(wait_for_state), file=sys.stderr)
                oci.wait_until(client, client.get_customization(customization_id), 'lifecycle_state', wait_for_state, succeed_on_not_found=True, **wait_period_kwargs)
            except oci.exceptions.ServiceError as e:
                # We make an initial service call so we can pass the result to oci.wait_until(), however if we are waiting on the
                # outcome of a delete operation it is possible that the resource is already gone and so the initial service call
                # will result in an exception that reflects a HTTP 404. In this case, we can exit with success (rather than raising
                # the exception) since this would have been the behaviour in the waiter anyway (as for delete we provide the argument
                # succeed_on_not_found=True to the waiter).
                #
                # Any non-404 should still result in the exception being thrown.
                if e.status == 404:
                    pass
                else:
                    raise
            except oci.exceptions.MaximumWaitTimeExceeded as e:
                # If we fail, we should show an error, but we should still provide the information to the customer
                click.echo('Failed to wait until the resource entered the specified state. Please retrieve the resource to find its current state', file=sys.stderr)
                cli_util.render_response(result, ctx)
                sys.exit(2)
            except Exception:
                click.echo('Encountered error while waiting for resource to enter the specified state. Outputting last known resource state', file=sys.stderr)
                cli_util.render_response(result, ctx)
                raise
        else:
            click.echo('Unable to wait for the resource to enter the specified state', file=sys.stderr)
    cli_util.render_response(result, ctx)


@transcription_job_group.command(name=cli_util.override('speech.delete_transcription_job.command_name', 'delete'), help=u"""Delete API cleans job, tasks and the related metadata. However the generated transcriptions in customer tenancy will not be deleted. \n[Command Reference](deleteTranscriptionJob)""")
@cli_util.option('--transcription-job-id', required=True, help=u"""Unique Transcription Job identifier.""")
@cli_util.option('--if-match', help=u"""For optimistic concurrency control. In the PUT or DELETE call for a resource, set the `if-match` parameter to the value of the etag from a previous GET or POST response for that resource. The resource will be updated or deleted only if the etag you provide matches the resource's current etag value.""")
@cli_util.confirm_delete_option
@cli_util.option('--wait-for-state', type=custom_types.CliCaseInsensitiveChoice(["ACCEPTED", "IN_PROGRESS", "SUCCEEDED", "FAILED", "CANCELING", "CANCELED"]), multiple=True, help="""This operation creates, modifies or deletes a resource that has a defined lifecycle state. Specify this option to perform the action and then wait until the resource reaches a given lifecycle state. Multiple states can be specified, returning on the first state. For example, --wait-for-state ACCEPTED --wait-for-state CANCELED would return on whichever lifecycle state is reached first. If timeout is reached, a return code of 2 is returned. For any other error, a return code of 1 is returned.""")
@cli_util.option('--max-wait-seconds', type=click.INT, help="""The maximum time to wait for the resource to reach the lifecycle state defined by --wait-for-state. Defaults to 1200 seconds.""")
@cli_util.option('--wait-interval-seconds', type=click.INT, help="""Check every --wait-interval-seconds to see whether the resource has reached the lifecycle state defined by --wait-for-state. Defaults to 30 seconds.""")
@json_skeleton_utils.get_cli_json_input_option({})
@cli_util.help_option
@click.pass_context
@json_skeleton_utils.json_skeleton_generation_handler(input_params_to_complex_types={})
@cli_util.wrap_exceptions
def delete_transcription_job(ctx, from_json, wait_for_state, max_wait_seconds, wait_interval_seconds, transcription_job_id, if_match):

    if isinstance(transcription_job_id, six.string_types) and len(transcription_job_id.strip()) == 0:
        raise click.UsageError('Parameter --transcription-job-id cannot be whitespace or empty string')

    kwargs = {}
    if if_match is not None:
        kwargs['if_match'] = if_match
    kwargs['opc_request_id'] = cli_util.use_or_generate_request_id(ctx.obj['request_id'])
    client = cli_util.build_client('ai_speech', 'ai_service_speech', ctx)
    result = client.delete_transcription_job(
        transcription_job_id=transcription_job_id,
        **kwargs
    )
    if wait_for_state:

        if hasattr(client, 'get_transcription_job') and callable(getattr(client, 'get_transcription_job')):
            try:
                wait_period_kwargs = {}
                if max_wait_seconds is not None:
                    wait_period_kwargs['max_wait_seconds'] = max_wait_seconds
                if wait_interval_seconds is not None:
                    wait_period_kwargs['max_interval_seconds'] = wait_interval_seconds

                click.echo('Action completed. Waiting until the resource has entered state: {}'.format(wait_for_state), file=sys.stderr)
                oci.wait_until(client, client.get_transcription_job(transcription_job_id), 'lifecycle_state', wait_for_state, succeed_on_not_found=True, **wait_period_kwargs)
            except oci.exceptions.ServiceError as e:
                # We make an initial service call so we can pass the result to oci.wait_until(), however if we are waiting on the
                # outcome of a delete operation it is possible that the resource is already gone and so the initial service call
                # will result in an exception that reflects a HTTP 404. In this case, we can exit with success (rather than raising
                # the exception) since this would have been the behaviour in the waiter anyway (as for delete we provide the argument
                # succeed_on_not_found=True to the waiter).
                #
                # Any non-404 should still result in the exception being thrown.
                if e.status == 404:
                    pass
                else:
                    raise
            except oci.exceptions.MaximumWaitTimeExceeded as e:
                # If we fail, we should show an error, but we should still provide the information to the customer
                click.echo('Failed to wait until the resource entered the specified state. Please retrieve the resource to find its current state', file=sys.stderr)
                cli_util.render_response(result, ctx)
                sys.exit(2)
            except Exception:
                click.echo('Encountered error while waiting for resource to enter the specified state. Outputting last known resource state', file=sys.stderr)
                cli_util.render_response(result, ctx)
                raise
        else:
            click.echo('Unable to wait for the resource to enter the specified state', file=sys.stderr)
    cli_util.render_response(result, ctx)


@customization_group.command(name=cli_util.override('speech.get_customization.command_name', 'get'), help=u"""Gets a Customization by identifier \n[Command Reference](getCustomization)""")
@cli_util.option('--customization-id', required=True, help=u"""Unique Customization training Job identifier.""")
@json_skeleton_utils.get_cli_json_input_option({})
@cli_util.help_option
@click.pass_context
@json_skeleton_utils.json_skeleton_generation_handler(input_params_to_complex_types={}, output_type={'module': 'ai_speech', 'class': 'Customization'})
@cli_util.wrap_exceptions
def get_customization(ctx, from_json, customization_id):

    if isinstance(customization_id, six.string_types) and len(customization_id.strip()) == 0:
        raise click.UsageError('Parameter --customization-id cannot be whitespace or empty string')

    kwargs = {}
    kwargs['opc_request_id'] = cli_util.use_or_generate_request_id(ctx.obj['request_id'])
    client = cli_util.build_client('ai_speech', 'ai_service_speech', ctx)
    result = client.get_customization(
        customization_id=customization_id,
        **kwargs
    )
    cli_util.render_response(result, ctx)


@transcription_job_group.command(name=cli_util.override('speech.get_transcription_job.command_name', 'get'), help=u"""Gets a Transcription Job by identifier \n[Command Reference](getTranscriptionJob)""")
@cli_util.option('--transcription-job-id', required=True, help=u"""Unique Transcription Job identifier.""")
@json_skeleton_utils.get_cli_json_input_option({})
@cli_util.help_option
@click.pass_context
@json_skeleton_utils.json_skeleton_generation_handler(input_params_to_complex_types={}, output_type={'module': 'ai_speech', 'class': 'TranscriptionJob'})
@cli_util.wrap_exceptions
def get_transcription_job(ctx, from_json, transcription_job_id):

    if isinstance(transcription_job_id, six.string_types) and len(transcription_job_id.strip()) == 0:
        raise click.UsageError('Parameter --transcription-job-id cannot be whitespace or empty string')

    kwargs = {}
    kwargs['opc_request_id'] = cli_util.use_or_generate_request_id(ctx.obj['request_id'])
    client = cli_util.build_client('ai_speech', 'ai_service_speech', ctx)
    result = client.get_transcription_job(
        transcription_job_id=transcription_job_id,
        **kwargs
    )
    cli_util.render_response(result, ctx)


@transcription_task_group.command(name=cli_util.override('speech.get_transcription_task.command_name', 'get'), help=u"""Gets a Transcription Task by identifier \n[Command Reference](getTranscriptionTask)""")
@cli_util.option('--transcription-job-id', required=True, help=u"""Unique Transcription Job identifier.""")
@cli_util.option('--transcription-task-id', required=True, help=u"""Unique Transcription Task identifier.""")
@json_skeleton_utils.get_cli_json_input_option({})
@cli_util.help_option
@click.pass_context
@json_skeleton_utils.json_skeleton_generation_handler(input_params_to_complex_types={}, output_type={'module': 'ai_speech', 'class': 'TranscriptionTask'})
@cli_util.wrap_exceptions
def get_transcription_task(ctx, from_json, transcription_job_id, transcription_task_id):

    if isinstance(transcription_job_id, six.string_types) and len(transcription_job_id.strip()) == 0:
        raise click.UsageError('Parameter --transcription-job-id cannot be whitespace or empty string')

    if isinstance(transcription_task_id, six.string_types) and len(transcription_task_id.strip()) == 0:
        raise click.UsageError('Parameter --transcription-task-id cannot be whitespace or empty string')

    kwargs = {}
    kwargs['opc_request_id'] = cli_util.use_or_generate_request_id(ctx.obj['request_id'])
    client = cli_util.build_client('ai_speech', 'ai_service_speech', ctx)
    result = client.get_transcription_task(
        transcription_job_id=transcription_job_id,
        transcription_task_id=transcription_task_id,
        **kwargs
    )
    cli_util.render_response(result, ctx)


@customization_group.command(name=cli_util.override('speech.list_customizations.command_name', 'list'), help=u"""Returns a list of Customizations. \n[Command Reference](listCustomizations)""")
@cli_util.option('--compartment-id', help=u"""The ID of the compartment in which to list resources.""")
@cli_util.option('--lifecycle-state', type=custom_types.CliCaseInsensitiveChoice(["DELETING", "DELETED", "FAILED", "UPDATING", "ACTIVE", "CREATING"]), help=u"""A filter to return only resources whose lifecycleState matches the given lifecycleState.""")
@cli_util.option('--display-name', help=u"""A filter to return only resources that match the entire display name given.""")
@cli_util.option('--id', help=u"""Unique identifier(OCID).""")
@cli_util.option('--limit', type=click.INT, help=u"""The maximum number of items to return.""")
@cli_util.option('--page', help=u"""A token representing the position at which to start retrieving results. This must come from the `opc-next-page` header field of a previous response.""")
@cli_util.option('--sort-order', type=custom_types.CliCaseInsensitiveChoice(["ASC", "DESC"]), help=u"""The sort order to use, either 'ASC' or 'DESC'.""")
@cli_util.option('--sort-by', type=custom_types.CliCaseInsensitiveChoice(["timeCreated", "displayName"]), help=u"""The field to sort by. Only one sort order may be provided. Default order for timeCreated is descending. Default order for displayName is ascending.""")
@cli_util.option('--all', 'all_pages', is_flag=True, help="""Fetches all pages of results. If you provide this option, then you cannot provide the --limit option.""")
@cli_util.option('--page-size', type=click.INT, help="""When fetching results, the number of results to fetch per call. Only valid when used with --all or --limit, and ignored otherwise.""")
@json_skeleton_utils.get_cli_json_input_option({})
@cli_util.help_option
@click.pass_context
@json_skeleton_utils.json_skeleton_generation_handler(input_params_to_complex_types={}, output_type={'module': 'ai_speech', 'class': 'CustomizationCollection'})
@cli_util.wrap_exceptions
def list_customizations(ctx, from_json, all_pages, page_size, compartment_id, lifecycle_state, display_name, id, limit, page, sort_order, sort_by):

    if all_pages and limit:
        raise click.UsageError('If you provide the --all option you cannot provide the --limit option')

    kwargs = {}
    if compartment_id is not None:
        kwargs['compartment_id'] = compartment_id
    if lifecycle_state is not None:
        kwargs['lifecycle_state'] = lifecycle_state
    if display_name is not None:
        kwargs['display_name'] = display_name
    if id is not None:
        kwargs['id'] = id
    if limit is not None:
        kwargs['limit'] = limit
    if page is not None:
        kwargs['page'] = page
    if sort_order is not None:
        kwargs['sort_order'] = sort_order
    if sort_by is not None:
        kwargs['sort_by'] = sort_by
    kwargs['opc_request_id'] = cli_util.use_or_generate_request_id(ctx.obj['request_id'])
    client = cli_util.build_client('ai_speech', 'ai_service_speech', ctx)
    if all_pages:
        if page_size:
            kwargs['limit'] = page_size

        result = cli_util.list_call_get_all_results(
            client.list_customizations,
            **kwargs
        )
    elif limit is not None:
        result = cli_util.list_call_get_up_to_limit(
            client.list_customizations,
            limit,
            page_size,
            **kwargs
        )
    else:
        result = client.list_customizations(
            **kwargs
        )
    cli_util.render_response(result, ctx)


@transcription_job_group.command(name=cli_util.override('speech.list_transcription_jobs.command_name', 'list'), help=u"""Returns a list of Transcription Jobs. \n[Command Reference](listTranscriptionJobs)""")
@cli_util.option('--compartment-id', help=u"""The ID of the compartment in which to list resources.""")
@cli_util.option('--lifecycle-state', type=custom_types.CliCaseInsensitiveChoice(["ACCEPTED", "IN_PROGRESS", "SUCCEEDED", "FAILED", "CANCELING", "CANCELED"]), help=u"""A filter to return only resources whose lifecycleState matches the given lifecycleState.""")
@cli_util.option('--display-name', help=u"""A filter to return only resources that match the entire display name given.""")
@cli_util.option('--id', help=u"""Unique identifier(OCID).""")
@cli_util.option('--limit', type=click.INT, help=u"""The maximum number of items to return.""")
@cli_util.option('--page', help=u"""A token representing the position at which to start retrieving results. This must come from the `opc-next-page` header field of a previous response.""")
@cli_util.option('--sort-order', type=custom_types.CliCaseInsensitiveChoice(["ASC", "DESC"]), help=u"""The sort order to use, either 'ASC' or 'DESC'.""")
@cli_util.option('--sort-by', type=custom_types.CliCaseInsensitiveChoice(["timeCreated", "displayName"]), help=u"""The field to sort by. Only one sort order may be provided. Default order for timeCreated is descending. Default order for displayName is ascending.""")
@cli_util.option('--all', 'all_pages', is_flag=True, help="""Fetches all pages of results. If you provide this option, then you cannot provide the --limit option.""")
@cli_util.option('--page-size', type=click.INT, help="""When fetching results, the number of results to fetch per call. Only valid when used with --all or --limit, and ignored otherwise.""")
@json_skeleton_utils.get_cli_json_input_option({})
@cli_util.help_option
@click.pass_context
@json_skeleton_utils.json_skeleton_generation_handler(input_params_to_complex_types={}, output_type={'module': 'ai_speech', 'class': 'TranscriptionJobCollection'})
@cli_util.wrap_exceptions
def list_transcription_jobs(ctx, from_json, all_pages, page_size, compartment_id, lifecycle_state, display_name, id, limit, page, sort_order, sort_by):

    if all_pages and limit:
        raise click.UsageError('If you provide the --all option you cannot provide the --limit option')

    kwargs = {}
    if compartment_id is not None:
        kwargs['compartment_id'] = compartment_id
    if lifecycle_state is not None:
        kwargs['lifecycle_state'] = lifecycle_state
    if display_name is not None:
        kwargs['display_name'] = display_name
    if id is not None:
        kwargs['id'] = id
    if limit is not None:
        kwargs['limit'] = limit
    if page is not None:
        kwargs['page'] = page
    if sort_order is not None:
        kwargs['sort_order'] = sort_order
    if sort_by is not None:
        kwargs['sort_by'] = sort_by
    kwargs['opc_request_id'] = cli_util.use_or_generate_request_id(ctx.obj['request_id'])
    client = cli_util.build_client('ai_speech', 'ai_service_speech', ctx)
    if all_pages:
        if page_size:
            kwargs['limit'] = page_size

        result = cli_util.list_call_get_all_results(
            client.list_transcription_jobs,
            **kwargs
        )
    elif limit is not None:
        result = cli_util.list_call_get_up_to_limit(
            client.list_transcription_jobs,
            limit,
            page_size,
            **kwargs
        )
    else:
        result = client.list_transcription_jobs(
            **kwargs
        )
    cli_util.render_response(result, ctx)


@transcription_task_group.command(name=cli_util.override('speech.list_transcription_tasks.command_name', 'list'), help=u"""Returns a list of Transcription Tasks. \n[Command Reference](listTranscriptionTasks)""")
@cli_util.option('--transcription-job-id', required=True, help=u"""Unique Transcription Job identifier.""")
@cli_util.option('--lifecycle-state', type=custom_types.CliCaseInsensitiveChoice(["ACCEPTED", "IN_PROGRESS", "SUCCEEDED", "FAILED", "CANCELED"]), help=u"""A filter to return only resources whose lifecycleState matches the given lifecycleState.""")
@cli_util.option('--display-name', help=u"""A filter to return only resources that match the entire display name given.""")
@cli_util.option('--id', help=u"""Unique identifier(OCID).""")
@cli_util.option('--limit', type=click.INT, help=u"""The maximum number of items to return.""")
@cli_util.option('--page', help=u"""A token representing the position at which to start retrieving results. This must come from the `opc-next-page` header field of a previous response.""")
@cli_util.option('--sort-order', type=custom_types.CliCaseInsensitiveChoice(["ASC", "DESC"]), help=u"""The sort order to use, either 'ASC' or 'DESC'.""")
@cli_util.option('--sort-by', type=custom_types.CliCaseInsensitiveChoice(["timeCreated", "displayName"]), help=u"""The field to sort by. Only one sort order may be provided. Default order for timeCreated is descending. Default order for displayName is ascending.""")
@cli_util.option('--all', 'all_pages', is_flag=True, help="""Fetches all pages of results. If you provide this option, then you cannot provide the --limit option.""")
@cli_util.option('--page-size', type=click.INT, help="""When fetching results, the number of results to fetch per call. Only valid when used with --all or --limit, and ignored otherwise.""")
@json_skeleton_utils.get_cli_json_input_option({})
@cli_util.help_option
@click.pass_context
@json_skeleton_utils.json_skeleton_generation_handler(input_params_to_complex_types={}, output_type={'module': 'ai_speech', 'class': 'TranscriptionTaskCollection'})
@cli_util.wrap_exceptions
def list_transcription_tasks(ctx, from_json, all_pages, page_size, transcription_job_id, lifecycle_state, display_name, id, limit, page, sort_order, sort_by):

    if all_pages and limit:
        raise click.UsageError('If you provide the --all option you cannot provide the --limit option')

    if isinstance(transcription_job_id, six.string_types) and len(transcription_job_id.strip()) == 0:
        raise click.UsageError('Parameter --transcription-job-id cannot be whitespace or empty string')

    kwargs = {}
    if lifecycle_state is not None:
        kwargs['lifecycle_state'] = lifecycle_state
    if display_name is not None:
        kwargs['display_name'] = display_name
    if id is not None:
        kwargs['id'] = id
    if limit is not None:
        kwargs['limit'] = limit
    if page is not None:
        kwargs['page'] = page
    if sort_order is not None:
        kwargs['sort_order'] = sort_order
    if sort_by is not None:
        kwargs['sort_by'] = sort_by
    kwargs['opc_request_id'] = cli_util.use_or_generate_request_id(ctx.obj['request_id'])
    client = cli_util.build_client('ai_speech', 'ai_service_speech', ctx)
    if all_pages:
        if page_size:
            kwargs['limit'] = page_size

        result = cli_util.list_call_get_all_results(
            client.list_transcription_tasks,
            transcription_job_id=transcription_job_id,
            **kwargs
        )
    elif limit is not None:
        result = cli_util.list_call_get_up_to_limit(
            client.list_transcription_tasks,
            limit,
            page_size,
            transcription_job_id=transcription_job_id,
            **kwargs
        )
    else:
        result = client.list_transcription_tasks(
            transcription_job_id=transcription_job_id,
            **kwargs
        )
    cli_util.render_response(result, ctx)


@voice_group.command(name=cli_util.override('speech.list_voices.command_name', 'list'), help=u"""Returns a list of speakers available to the user to choose from based on language code and voice type provided. \n[Command Reference](listVoices)""")
@cli_util.option('--compartment-id', help=u"""The ID of the compartment in which to list resources.""")
@cli_util.option('--model-name', type=custom_types.CliCaseInsensitiveChoice(["TTS_1_STANDARD", "TTS_2_NATURAL"]), help=u"""The model name to filter voices for given model name.""")
@cli_util.option('--language-code', help=u"""The Code or Id of the language to filter voices for given language code.""")
@cli_util.option('--display-name', help=u"""The name of the speaker voice in which the user wants tts inference to be.""")
@cli_util.option('--all', 'all_pages', is_flag=True, help="""Fetches all pages of results.""")
@json_skeleton_utils.get_cli_json_input_option({})
@cli_util.help_option
@click.pass_context
@json_skeleton_utils.json_skeleton_generation_handler(input_params_to_complex_types={}, output_type={'module': 'ai_speech', 'class': 'VoiceCollection'})
@cli_util.wrap_exceptions
def list_voices(ctx, from_json, all_pages, compartment_id, model_name, language_code, display_name):

    kwargs = {}
    if compartment_id is not None:
        kwargs['compartment_id'] = compartment_id
    if model_name is not None:
        kwargs['model_name'] = model_name
    if language_code is not None:
        kwargs['language_code'] = language_code
    if display_name is not None:
        kwargs['display_name'] = display_name
    kwargs['opc_request_id'] = cli_util.use_or_generate_request_id(ctx.obj['request_id'])
    client = cli_util.build_client('ai_speech', 'ai_service_speech', ctx)
    result = client.list_voices(
        **kwargs
    )
    cli_util.render_response(result, ctx)


@synthesize_speech_group.command(name=cli_util.override('speech.synthesize_speech.command_name', 'synthesize-speech'), help=u"""Creates an audio for the given input text based on other input parameters like language, voice type, etc. \n[Command Reference](synthesizeSpeech)""")
@cli_util.option('--text', required=True, help=u"""The text input to get the inference audio from TTS Service.""")
@cli_util.option('--file', type=click.File(mode='wb'), required=True, help="The name of the file that will receive the response data, or '-' to write to STDOUT.")
@cli_util.option('--is-stream-enabled', type=click.BOOL, help=u"""If set to true, response will be sent in the chunked transfer-encoding and audio chunks are sent back as and when they are ready. If set to false, response will be sent only once the entire audio is generated.""")
@cli_util.option('--compartment-id', help=u"""The [OCID] of the compartment where the user has access to call `SpeechSynthesize` api. But default user access will be checked at tenancy level.""")
@cli_util.option('--configuration', type=custom_types.CLI_COMPLEX_TYPE, help=u"""""" + custom_types.cli_complex_type.COMPLEX_TYPE_HELP)
@cli_util.option('--audio-config', type=custom_types.CLI_COMPLEX_TYPE, help=u"""""" + custom_types.cli_complex_type.COMPLEX_TYPE_HELP)
@json_skeleton_utils.get_cli_json_input_option({'configuration': {'module': 'ai_speech', 'class': 'TtsConfiguration'}, 'audio-config': {'module': 'ai_speech', 'class': 'TtsAudioConfig'}})
@cli_util.help_option
@click.pass_context
@json_skeleton_utils.json_skeleton_generation_handler(input_params_to_complex_types={'configuration': {'module': 'ai_speech', 'class': 'TtsConfiguration'}, 'audio-config': {'module': 'ai_speech', 'class': 'TtsAudioConfig'}})
@cli_util.wrap_exceptions
def synthesize_speech(ctx, from_json, file, text, is_stream_enabled, compartment_id, configuration, audio_config):

    kwargs = {}
    kwargs['opc_request_id'] = cli_util.use_or_generate_request_id(ctx.obj['request_id'])

    _details = {}
    _details['text'] = text

    if is_stream_enabled is not None:
        _details['isStreamEnabled'] = is_stream_enabled

    if compartment_id is not None:
        _details['compartmentId'] = compartment_id

    if configuration is not None:
        _details['configuration'] = cli_util.parse_json_parameter("configuration", configuration)

    if audio_config is not None:
        _details['audioConfig'] = cli_util.parse_json_parameter("audio_config", audio_config)

    client = cli_util.build_client('ai_speech', 'ai_service_speech', ctx)
    result = client.synthesize_speech(
        synthesize_speech_details=_details,
        **kwargs
    )

    # If outputting to stdout we don't want to print a progress bar because it will get mixed up with the output
    # Also we need a non-zero Content-Length in order to display a meaningful progress bar
    bar = None
    if hasattr(file, 'name') and file.name != '<stdout>' and 'Content-Length' in result.headers:
        content_length = int(result.headers['Content-Length'])
        if content_length > 0:
            bar = click.progressbar(length=content_length, label='Downloading file')

    try:
        if bar:
            bar.__enter__()

        # TODO: Make the download size a configurable option
        # use decode_content=True to automatically unzip service responses (this should be overridden for object storage)
        for chunk in result.data.raw.stream(cli_constants.MEBIBYTE, decode_content=True):
            if bar:
                bar.update(len(chunk))
            file.write(chunk)
    finally:
        if bar:
            bar.render_finish()
        file.close()


@synthesize_speech_group.command(name=cli_util.override('speech.synthesize_speech_tts_oracle_configuration.command_name', 'synthesize-speech-tts-oracle-configuration'), help=u"""Creates an audio for the given input text based on other input parameters like language, voice type, etc. \n[Command Reference](synthesizeSpeech)""")
@cli_util.option('--text', required=True, help=u"""The text input to get the inference audio from TTS Service.""")
@cli_util.option('--file', type=click.File(mode='wb'), required=True, help="The name of the file that will receive the response data, or '-' to write to STDOUT.")
@cli_util.option('--is-stream-enabled', type=click.BOOL, help=u"""If set to true, response will be sent in the chunked transfer-encoding and audio chunks are sent back as and when they are ready. If set to false, response will be sent only once the entire audio is generated.""")
@cli_util.option('--compartment-id', help=u"""The [OCID] of the compartment where the user has access to call `SpeechSynthesize` api. But default user access will be checked at tenancy level.""")
@cli_util.option('--audio-config', type=custom_types.CLI_COMPLEX_TYPE, help=u"""""" + custom_types.cli_complex_type.COMPLEX_TYPE_HELP)
@cli_util.option('--configuration-model-details', type=custom_types.CLI_COMPLEX_TYPE, help=u"""""" + custom_types.cli_complex_type.COMPLEX_TYPE_HELP)
@cli_util.option('--configuration-speech-settings', type=custom_types.CLI_COMPLEX_TYPE, help=u"""""" + custom_types.cli_complex_type.COMPLEX_TYPE_HELP)
@json_skeleton_utils.get_cli_json_input_option({'audio-config': {'module': 'ai_speech', 'class': 'TtsAudioConfig'}, 'configuration-model-details': {'module': 'ai_speech', 'class': 'TtsOracleModelDetails'}, 'configuration-speech-settings': {'module': 'ai_speech', 'class': 'TtsOracleSpeechSettings'}})
@cli_util.help_option
@click.pass_context
@json_skeleton_utils.json_skeleton_generation_handler(input_params_to_complex_types={'audio-config': {'module': 'ai_speech', 'class': 'TtsAudioConfig'}, 'configuration-model-details': {'module': 'ai_speech', 'class': 'TtsOracleModelDetails'}, 'configuration-speech-settings': {'module': 'ai_speech', 'class': 'TtsOracleSpeechSettings'}})
@cli_util.wrap_exceptions
def synthesize_speech_tts_oracle_configuration(ctx, from_json, file, text, is_stream_enabled, compartment_id, audio_config, configuration_model_details, configuration_speech_settings):

    kwargs = {}
    kwargs['opc_request_id'] = cli_util.use_or_generate_request_id(ctx.obj['request_id'])

    _details = {}
    _details['configuration'] = {}
    _details['text'] = text

    if is_stream_enabled is not None:
        _details['isStreamEnabled'] = is_stream_enabled

    if compartment_id is not None:
        _details['compartmentId'] = compartment_id

    if audio_config is not None:
        _details['audioConfig'] = cli_util.parse_json_parameter("audio_config", audio_config)

    if configuration_model_details is not None:
        _details['configuration']['modelDetails'] = cli_util.parse_json_parameter("configuration_model_details", configuration_model_details)

    if configuration_speech_settings is not None:
        _details['configuration']['speechSettings'] = cli_util.parse_json_parameter("configuration_speech_settings", configuration_speech_settings)

    _details['configuration']['modelFamily'] = 'ORACLE'

    client = cli_util.build_client('ai_speech', 'ai_service_speech', ctx)
    result = client.synthesize_speech(
        synthesize_speech_details=_details,
        **kwargs
    )

    # If outputting to stdout we don't want to print a progress bar because it will get mixed up with the output
    # Also we need a non-zero Content-Length in order to display a meaningful progress bar
    bar = None
    if hasattr(file, 'name') and file.name != '<stdout>' and 'Content-Length' in result.headers:
        content_length = int(result.headers['Content-Length'])
        if content_length > 0:
            bar = click.progressbar(length=content_length, label='Downloading file')

    try:
        if bar:
            bar.__enter__()

        # TODO: Make the download size a configurable option
        # use decode_content=True to automatically unzip service responses (this should be overridden for object storage)
        for chunk in result.data.raw.stream(cli_constants.MEBIBYTE, decode_content=True):
            if bar:
                bar.update(len(chunk))
            file.write(chunk)
    finally:
        if bar:
            bar.render_finish()
        file.close()


@synthesize_speech_group.command(name=cli_util.override('speech.synthesize_speech_tts_base_audio_config.command_name', 'synthesize-speech-tts-base-audio-config'), help=u"""Creates an audio for the given input text based on other input parameters like language, voice type, etc. \n[Command Reference](synthesizeSpeech)""")
@cli_util.option('--text', required=True, help=u"""The text input to get the inference audio from TTS Service.""")
@cli_util.option('--audio-config-save-path', required=True, help=u"""Specify the path where you want to save the audio response.""")
@cli_util.option('--file', type=click.File(mode='wb'), required=True, help="The name of the file that will receive the response data, or '-' to write to STDOUT.")
@cli_util.option('--is-stream-enabled', type=click.BOOL, help=u"""If set to true, response will be sent in the chunked transfer-encoding and audio chunks are sent back as and when they are ready. If set to false, response will be sent only once the entire audio is generated.""")
@cli_util.option('--compartment-id', help=u"""The [OCID] of the compartment where the user has access to call `SpeechSynthesize` api. But default user access will be checked at tenancy level.""")
@cli_util.option('--configuration', type=custom_types.CLI_COMPLEX_TYPE, help=u"""""" + custom_types.cli_complex_type.COMPLEX_TYPE_HELP)
@json_skeleton_utils.get_cli_json_input_option({'configuration': {'module': 'ai_speech', 'class': 'TtsConfiguration'}})
@cli_util.help_option
@click.pass_context
@json_skeleton_utils.json_skeleton_generation_handler(input_params_to_complex_types={'configuration': {'module': 'ai_speech', 'class': 'TtsConfiguration'}})
@cli_util.wrap_exceptions
def synthesize_speech_tts_base_audio_config(ctx, from_json, file, text, audio_config_save_path, is_stream_enabled, compartment_id, configuration):

    kwargs = {}
    kwargs['opc_request_id'] = cli_util.use_or_generate_request_id(ctx.obj['request_id'])

    _details = {}
    _details['audioConfig'] = {}
    _details['text'] = text
    _details['audioConfig']['savePath'] = audio_config_save_path

    if is_stream_enabled is not None:
        _details['isStreamEnabled'] = is_stream_enabled

    if compartment_id is not None:
        _details['compartmentId'] = compartment_id

    if configuration is not None:
        _details['configuration'] = cli_util.parse_json_parameter("configuration", configuration)

    _details['audioConfig']['configType'] = 'BASE_AUDIO_CONFIG'

    client = cli_util.build_client('ai_speech', 'ai_service_speech', ctx)
    result = client.synthesize_speech(
        synthesize_speech_details=_details,
        **kwargs
    )

    # If outputting to stdout we don't want to print a progress bar because it will get mixed up with the output
    # Also we need a non-zero Content-Length in order to display a meaningful progress bar
    bar = None
    if hasattr(file, 'name') and file.name != '<stdout>' and 'Content-Length' in result.headers:
        content_length = int(result.headers['Content-Length'])
        if content_length > 0:
            bar = click.progressbar(length=content_length, label='Downloading file')

    try:
        if bar:
            bar.__enter__()

        # TODO: Make the download size a configurable option
        # use decode_content=True to automatically unzip service responses (this should be overridden for object storage)
        for chunk in result.data.raw.stream(cli_constants.MEBIBYTE, decode_content=True):
            if bar:
                bar.update(len(chunk))
            file.write(chunk)
    finally:
        if bar:
            bar.render_finish()
        file.close()


@customization_group.command(name=cli_util.override('speech.update_customization.command_name', 'update'), help=u"""Updates a Customization by identifier \n[Command Reference](updateCustomization)""")
@cli_util.option('--customization-id', required=True, help=u"""Unique Customization training Job identifier.""")
@cli_util.option('--alias', help=u"""Customization Details Alias""")
@cli_util.option('--display-name', help=u"""A user-friendly display name for the customization.""")
@cli_util.option('--description', help=u"""A short description of the customization.""")
@cli_util.option('--model-details', type=custom_types.CLI_COMPLEX_TYPE, help=u"""""" + custom_types.cli_complex_type.COMPLEX_TYPE_HELP)
@cli_util.option('--training-dataset', type=custom_types.CLI_COMPLEX_TYPE, help=u"""""" + custom_types.cli_complex_type.COMPLEX_TYPE_HELP)
@cli_util.option('--freeform-tags', type=custom_types.CLI_COMPLEX_TYPE, help=u"""Simple key-value pair that is applied without any predefined name, type or scope. Exists for cross-compatibility only. Example: `{\"bar-key\": \"value\"}`.""" + custom_types.cli_complex_type.COMPLEX_TYPE_HELP)
@cli_util.option('--defined-tags', type=custom_types.CLI_COMPLEX_TYPE, help=u"""Defined tags for this resource. Each key is predefined and scoped to a namespace. Example: `{\"foo-namespace-1\": {\"bar-key-1\": \"value-1\", \"bar-key-2\": \"value-2\"}, \"foo-namespace-2\": {\"bar-key-1\": \"value-1\", \"bar-key-2\": \"value-2\"}}`.""" + custom_types.cli_complex_type.COMPLEX_TYPE_HELP)
@cli_util.option('--if-match', help=u"""For optimistic concurrency control. In the PUT or DELETE call for a resource, set the `if-match` parameter to the value of the etag from a previous GET or POST response for that resource. The resource will be updated or deleted only if the etag you provide matches the resource's current etag value.""")
@cli_util.option('--force', help="""Perform update without prompting for confirmation.""", is_flag=True)
@cli_util.option('--wait-for-state', type=custom_types.CliCaseInsensitiveChoice(["DELETING", "DELETED", "FAILED", "UPDATING", "ACTIVE", "CREATING"]), multiple=True, help="""This operation creates, modifies or deletes a resource that has a defined lifecycle state. Specify this option to perform the action and then wait until the resource reaches a given lifecycle state. Multiple states can be specified, returning on the first state. For example, --wait-for-state DELETING --wait-for-state CREATING would return on whichever lifecycle state is reached first. If timeout is reached, a return code of 2 is returned. For any other error, a return code of 1 is returned.""")
@cli_util.option('--max-wait-seconds', type=click.INT, help="""The maximum time to wait for the resource to reach the lifecycle state defined by --wait-for-state. Defaults to 1200 seconds.""")
@cli_util.option('--wait-interval-seconds', type=click.INT, help="""Check every --wait-interval-seconds to see whether the resource has reached the lifecycle state defined by --wait-for-state. Defaults to 30 seconds.""")
@json_skeleton_utils.get_cli_json_input_option({'model-details': {'module': 'ai_speech', 'class': 'CustomizationModelDetails'}, 'training-dataset': {'module': 'ai_speech', 'class': 'CustomizationDatasetDetails'}, 'freeform-tags': {'module': 'ai_speech', 'class': 'dict(str, string)'}, 'defined-tags': {'module': 'ai_speech', 'class': 'dict(str, dict(str, object))'}})
@cli_util.help_option
@click.pass_context
@json_skeleton_utils.json_skeleton_generation_handler(input_params_to_complex_types={'model-details': {'module': 'ai_speech', 'class': 'CustomizationModelDetails'}, 'training-dataset': {'module': 'ai_speech', 'class': 'CustomizationDatasetDetails'}, 'freeform-tags': {'module': 'ai_speech', 'class': 'dict(str, string)'}, 'defined-tags': {'module': 'ai_speech', 'class': 'dict(str, dict(str, object))'}}, output_type={'module': 'ai_speech', 'class': 'Customization'})
@cli_util.wrap_exceptions
def update_customization(ctx, from_json, force, wait_for_state, max_wait_seconds, wait_interval_seconds, customization_id, alias, display_name, description, model_details, training_dataset, freeform_tags, defined_tags, if_match):

    if isinstance(customization_id, six.string_types) and len(customization_id.strip()) == 0:
        raise click.UsageError('Parameter --customization-id cannot be whitespace or empty string')
    if not force:
        if model_details or training_dataset or freeform_tags or defined_tags:
            if not click.confirm("WARNING: Updates to model-details and training-dataset and freeform-tags and defined-tags will replace any existing values. Are you sure you want to continue?"):
                ctx.abort()

    kwargs = {}
    if if_match is not None:
        kwargs['if_match'] = if_match
    kwargs['opc_request_id'] = cli_util.use_or_generate_request_id(ctx.obj['request_id'])

    _details = {}

    if alias is not None:
        _details['alias'] = alias

    if display_name is not None:
        _details['displayName'] = display_name

    if description is not None:
        _details['description'] = description

    if model_details is not None:
        _details['modelDetails'] = cli_util.parse_json_parameter("model_details", model_details)

    if training_dataset is not None:
        _details['trainingDataset'] = cli_util.parse_json_parameter("training_dataset", training_dataset)

    if freeform_tags is not None:
        _details['freeformTags'] = cli_util.parse_json_parameter("freeform_tags", freeform_tags)

    if defined_tags is not None:
        _details['definedTags'] = cli_util.parse_json_parameter("defined_tags", defined_tags)

    client = cli_util.build_client('ai_speech', 'ai_service_speech', ctx)
    result = client.update_customization(
        customization_id=customization_id,
        update_customization_details=_details,
        **kwargs
    )
    if wait_for_state:

        if hasattr(client, 'get_customization') and callable(getattr(client, 'get_customization')):
            try:
                wait_period_kwargs = {}
                if max_wait_seconds is not None:
                    wait_period_kwargs['max_wait_seconds'] = max_wait_seconds
                if wait_interval_seconds is not None:
                    wait_period_kwargs['max_interval_seconds'] = wait_interval_seconds

                click.echo('Action completed. Waiting until the resource has entered state: {}'.format(wait_for_state), file=sys.stderr)
                result = oci.wait_until(client, client.get_customization(result.data.id), 'lifecycle_state', wait_for_state, **wait_period_kwargs)
            except oci.exceptions.MaximumWaitTimeExceeded as e:
                # If we fail, we should show an error, but we should still provide the information to the customer
                click.echo('Failed to wait until the resource entered the specified state. Outputting last known resource state', file=sys.stderr)
                cli_util.render_response(result, ctx)
                sys.exit(2)
            except Exception:
                click.echo('Encountered error while waiting for resource to enter the specified state. Outputting last known resource state', file=sys.stderr)
                cli_util.render_response(result, ctx)
                raise
        else:
            click.echo('Unable to wait for the resource to enter the specified state', file=sys.stderr)
    cli_util.render_response(result, ctx)


@customization_group.command(name=cli_util.override('speech.update_customization_object_storage_dataset.command_name', 'update-customization-object-storage-dataset'), help=u"""Updates a Customization by identifier \n[Command Reference](updateCustomization)""")
@cli_util.option('--customization-id', required=True, help=u"""Unique Customization training Job identifier.""")
@cli_util.option('--training-dataset-location-details', required=True, type=custom_types.CLI_COMPLEX_TYPE, help=u"""""" + custom_types.cli_complex_type.COMPLEX_TYPE_HELP)
@cli_util.option('--alias', help=u"""Customization Details Alias""")
@cli_util.option('--display-name', help=u"""A user-friendly display name for the customization.""")
@cli_util.option('--description', help=u"""A short description of the customization.""")
@cli_util.option('--model-details', type=custom_types.CLI_COMPLEX_TYPE, help=u"""""" + custom_types.cli_complex_type.COMPLEX_TYPE_HELP)
@cli_util.option('--freeform-tags', type=custom_types.CLI_COMPLEX_TYPE, help=u"""Simple key-value pair that is applied without any predefined name, type or scope. Exists for cross-compatibility only. Example: `{\"bar-key\": \"value\"}`.""" + custom_types.cli_complex_type.COMPLEX_TYPE_HELP)
@cli_util.option('--defined-tags', type=custom_types.CLI_COMPLEX_TYPE, help=u"""Defined tags for this resource. Each key is predefined and scoped to a namespace. Example: `{\"foo-namespace-1\": {\"bar-key-1\": \"value-1\", \"bar-key-2\": \"value-2\"}, \"foo-namespace-2\": {\"bar-key-1\": \"value-1\", \"bar-key-2\": \"value-2\"}}`.""" + custom_types.cli_complex_type.COMPLEX_TYPE_HELP)
@cli_util.option('--if-match', help=u"""For optimistic concurrency control. In the PUT or DELETE call for a resource, set the `if-match` parameter to the value of the etag from a previous GET or POST response for that resource. The resource will be updated or deleted only if the etag you provide matches the resource's current etag value.""")
@cli_util.option('--training-dataset-entity-type', help=u"""Entity Type categorizing the following list of words.""")
@cli_util.option('--force', help="""Perform update without prompting for confirmation.""", is_flag=True)
@cli_util.option('--wait-for-state', type=custom_types.CliCaseInsensitiveChoice(["DELETING", "DELETED", "FAILED", "UPDATING", "ACTIVE", "CREATING"]), multiple=True, help="""This operation creates, modifies or deletes a resource that has a defined lifecycle state. Specify this option to perform the action and then wait until the resource reaches a given lifecycle state. Multiple states can be specified, returning on the first state. For example, --wait-for-state DELETING --wait-for-state CREATING would return on whichever lifecycle state is reached first. If timeout is reached, a return code of 2 is returned. For any other error, a return code of 1 is returned.""")
@cli_util.option('--max-wait-seconds', type=click.INT, help="""The maximum time to wait for the resource to reach the lifecycle state defined by --wait-for-state. Defaults to 1200 seconds.""")
@cli_util.option('--wait-interval-seconds', type=click.INT, help="""Check every --wait-interval-seconds to see whether the resource has reached the lifecycle state defined by --wait-for-state. Defaults to 30 seconds.""")
@json_skeleton_utils.get_cli_json_input_option({'model-details': {'module': 'ai_speech', 'class': 'CustomizationModelDetails'}, 'freeform-tags': {'module': 'ai_speech', 'class': 'dict(str, string)'}, 'defined-tags': {'module': 'ai_speech', 'class': 'dict(str, dict(str, object))'}, 'training-dataset-location-details': {'module': 'ai_speech', 'class': 'LocationDetails'}})
@cli_util.help_option
@click.pass_context
@json_skeleton_utils.json_skeleton_generation_handler(input_params_to_complex_types={'model-details': {'module': 'ai_speech', 'class': 'CustomizationModelDetails'}, 'freeform-tags': {'module': 'ai_speech', 'class': 'dict(str, string)'}, 'defined-tags': {'module': 'ai_speech', 'class': 'dict(str, dict(str, object))'}, 'training-dataset-location-details': {'module': 'ai_speech', 'class': 'LocationDetails'}}, output_type={'module': 'ai_speech', 'class': 'Customization'})
@cli_util.wrap_exceptions
def update_customization_object_storage_dataset(ctx, from_json, force, wait_for_state, max_wait_seconds, wait_interval_seconds, customization_id, training_dataset_location_details, alias, display_name, description, model_details, freeform_tags, defined_tags, if_match, training_dataset_entity_type):

    if isinstance(customization_id, six.string_types) and len(customization_id.strip()) == 0:
        raise click.UsageError('Parameter --customization-id cannot be whitespace or empty string')
    if not force:
        if model_details or freeform_tags or defined_tags:
            if not click.confirm("WARNING: Updates to model-details and freeform-tags and defined-tags will replace any existing values. Are you sure you want to continue?"):
                ctx.abort()

    kwargs = {}
    if if_match is not None:
        kwargs['if_match'] = if_match
    kwargs['opc_request_id'] = cli_util.use_or_generate_request_id(ctx.obj['request_id'])

    _details = {}
    _details['trainingDataset'] = {}
    _details['trainingDataset']['locationDetails'] = cli_util.parse_json_parameter("training_dataset_location_details", training_dataset_location_details)

    if alias is not None:
        _details['alias'] = alias

    if display_name is not None:
        _details['displayName'] = display_name

    if description is not None:
        _details['description'] = description

    if model_details is not None:
        _details['modelDetails'] = cli_util.parse_json_parameter("model_details", model_details)

    if freeform_tags is not None:
        _details['freeformTags'] = cli_util.parse_json_parameter("freeform_tags", freeform_tags)

    if defined_tags is not None:
        _details['definedTags'] = cli_util.parse_json_parameter("defined_tags", defined_tags)

    if training_dataset_entity_type is not None:
        _details['trainingDataset']['entityType'] = training_dataset_entity_type

    _details['trainingDataset']['datasetType'] = 'OBJECT_STORAGE'

    client = cli_util.build_client('ai_speech', 'ai_service_speech', ctx)
    result = client.update_customization(
        customization_id=customization_id,
        update_customization_details=_details,
        **kwargs
    )
    if wait_for_state:

        if hasattr(client, 'get_customization') and callable(getattr(client, 'get_customization')):
            try:
                wait_period_kwargs = {}
                if max_wait_seconds is not None:
                    wait_period_kwargs['max_wait_seconds'] = max_wait_seconds
                if wait_interval_seconds is not None:
                    wait_period_kwargs['max_interval_seconds'] = wait_interval_seconds

                click.echo('Action completed. Waiting until the resource has entered state: {}'.format(wait_for_state), file=sys.stderr)
                result = oci.wait_until(client, client.get_customization(result.data.id), 'lifecycle_state', wait_for_state, **wait_period_kwargs)
            except oci.exceptions.MaximumWaitTimeExceeded as e:
                # If we fail, we should show an error, but we should still provide the information to the customer
                click.echo('Failed to wait until the resource entered the specified state. Outputting last known resource state', file=sys.stderr)
                cli_util.render_response(result, ctx)
                sys.exit(2)
            except Exception:
                click.echo('Encountered error while waiting for resource to enter the specified state. Outputting last known resource state', file=sys.stderr)
                cli_util.render_response(result, ctx)
                raise
        else:
            click.echo('Unable to wait for the resource to enter the specified state', file=sys.stderr)
    cli_util.render_response(result, ctx)


@customization_group.command(name=cli_util.override('speech.update_customization_entity_list_dataset.command_name', 'update-customization-entity-list-dataset'), help=u"""Updates a Customization by identifier \n[Command Reference](updateCustomization)""")
@cli_util.option('--customization-id', required=True, help=u"""Unique Customization training Job identifier.""")
@cli_util.option('--alias', help=u"""Customization Details Alias""")
@cli_util.option('--display-name', help=u"""A user-friendly display name for the customization.""")
@cli_util.option('--description', help=u"""A short description of the customization.""")
@cli_util.option('--model-details', type=custom_types.CLI_COMPLEX_TYPE, help=u"""""" + custom_types.cli_complex_type.COMPLEX_TYPE_HELP)
@cli_util.option('--freeform-tags', type=custom_types.CLI_COMPLEX_TYPE, help=u"""Simple key-value pair that is applied without any predefined name, type or scope. Exists for cross-compatibility only. Example: `{\"bar-key\": \"value\"}`.""" + custom_types.cli_complex_type.COMPLEX_TYPE_HELP)
@cli_util.option('--defined-tags', type=custom_types.CLI_COMPLEX_TYPE, help=u"""Defined tags for this resource. Each key is predefined and scoped to a namespace. Example: `{\"foo-namespace-1\": {\"bar-key-1\": \"value-1\", \"bar-key-2\": \"value-2\"}, \"foo-namespace-2\": {\"bar-key-1\": \"value-1\", \"bar-key-2\": \"value-2\"}}`.""" + custom_types.cli_complex_type.COMPLEX_TYPE_HELP)
@cli_util.option('--if-match', help=u"""For optimistic concurrency control. In the PUT or DELETE call for a resource, set the `if-match` parameter to the value of the etag from a previous GET or POST response for that resource. The resource will be updated or deleted only if the etag you provide matches the resource's current etag value.""")
@cli_util.option('--training-dataset-reference-examples', type=custom_types.CLI_COMPLEX_TYPE, help=u"""List of sentences referencing 1 or more entityType matching those defined in the linked entityLists, used to improve accuracy by providing model training context of where/how an entity may appear in a sentence. EntityTypes referenced in sentences should be written in all caps surrounded by angled braces (i.e \"<PATIENT>\" if entityType=patient)""" + custom_types.cli_complex_type.COMPLEX_TYPE_HELP)
@cli_util.option('--training-dataset-entity-list', type=custom_types.CLI_COMPLEX_TYPE, help=u"""Array of entityLists

This option is a JSON list with items of type EntityList.  For documentation on EntityList please see our API reference: https://docs.oracle.com/en-us/iaas/api/#/en/aiservicespeech/20220101/datatypes/EntityList.""" + custom_types.cli_complex_type.COMPLEX_TYPE_HELP)
@cli_util.option('--force', help="""Perform update without prompting for confirmation.""", is_flag=True)
@cli_util.option('--wait-for-state', type=custom_types.CliCaseInsensitiveChoice(["DELETING", "DELETED", "FAILED", "UPDATING", "ACTIVE", "CREATING"]), multiple=True, help="""This operation creates, modifies or deletes a resource that has a defined lifecycle state. Specify this option to perform the action and then wait until the resource reaches a given lifecycle state. Multiple states can be specified, returning on the first state. For example, --wait-for-state DELETING --wait-for-state CREATING would return on whichever lifecycle state is reached first. If timeout is reached, a return code of 2 is returned. For any other error, a return code of 1 is returned.""")
@cli_util.option('--max-wait-seconds', type=click.INT, help="""The maximum time to wait for the resource to reach the lifecycle state defined by --wait-for-state. Defaults to 1200 seconds.""")
@cli_util.option('--wait-interval-seconds', type=click.INT, help="""Check every --wait-interval-seconds to see whether the resource has reached the lifecycle state defined by --wait-for-state. Defaults to 30 seconds.""")
@json_skeleton_utils.get_cli_json_input_option({'model-details': {'module': 'ai_speech', 'class': 'CustomizationModelDetails'}, 'freeform-tags': {'module': 'ai_speech', 'class': 'dict(str, string)'}, 'defined-tags': {'module': 'ai_speech', 'class': 'dict(str, dict(str, object))'}, 'training-dataset-reference-examples': {'module': 'ai_speech', 'class': 'list[string]'}, 'training-dataset-entity-list': {'module': 'ai_speech', 'class': 'list[EntityList]'}})
@cli_util.help_option
@click.pass_context
@json_skeleton_utils.json_skeleton_generation_handler(input_params_to_complex_types={'model-details': {'module': 'ai_speech', 'class': 'CustomizationModelDetails'}, 'freeform-tags': {'module': 'ai_speech', 'class': 'dict(str, string)'}, 'defined-tags': {'module': 'ai_speech', 'class': 'dict(str, dict(str, object))'}, 'training-dataset-reference-examples': {'module': 'ai_speech', 'class': 'list[string]'}, 'training-dataset-entity-list': {'module': 'ai_speech', 'class': 'list[EntityList]'}}, output_type={'module': 'ai_speech', 'class': 'Customization'})
@cli_util.wrap_exceptions
def update_customization_entity_list_dataset(ctx, from_json, force, wait_for_state, max_wait_seconds, wait_interval_seconds, customization_id, alias, display_name, description, model_details, freeform_tags, defined_tags, if_match, training_dataset_reference_examples, training_dataset_entity_list):

    if isinstance(customization_id, six.string_types) and len(customization_id.strip()) == 0:
        raise click.UsageError('Parameter --customization-id cannot be whitespace or empty string')
    if not force:
        if model_details or freeform_tags or defined_tags:
            if not click.confirm("WARNING: Updates to model-details and freeform-tags and defined-tags will replace any existing values. Are you sure you want to continue?"):
                ctx.abort()

    kwargs = {}
    if if_match is not None:
        kwargs['if_match'] = if_match
    kwargs['opc_request_id'] = cli_util.use_or_generate_request_id(ctx.obj['request_id'])

    _details = {}
    _details['trainingDataset'] = {}

    if alias is not None:
        _details['alias'] = alias

    if display_name is not None:
        _details['displayName'] = display_name

    if description is not None:
        _details['description'] = description

    if model_details is not None:
        _details['modelDetails'] = cli_util.parse_json_parameter("model_details", model_details)

    if freeform_tags is not None:
        _details['freeformTags'] = cli_util.parse_json_parameter("freeform_tags", freeform_tags)

    if defined_tags is not None:
        _details['definedTags'] = cli_util.parse_json_parameter("defined_tags", defined_tags)

    if training_dataset_reference_examples is not None:
        _details['trainingDataset']['referenceExamples'] = cli_util.parse_json_parameter("training_dataset_reference_examples", training_dataset_reference_examples)

    if training_dataset_entity_list is not None:
        _details['trainingDataset']['entityList'] = cli_util.parse_json_parameter("training_dataset_entity_list", training_dataset_entity_list)

    _details['trainingDataset']['datasetType'] = 'ENTITY_LIST'

    client = cli_util.build_client('ai_speech', 'ai_service_speech', ctx)
    result = client.update_customization(
        customization_id=customization_id,
        update_customization_details=_details,
        **kwargs
    )
    if wait_for_state:

        if hasattr(client, 'get_customization') and callable(getattr(client, 'get_customization')):
            try:
                wait_period_kwargs = {}
                if max_wait_seconds is not None:
                    wait_period_kwargs['max_wait_seconds'] = max_wait_seconds
                if wait_interval_seconds is not None:
                    wait_period_kwargs['max_interval_seconds'] = wait_interval_seconds

                click.echo('Action completed. Waiting until the resource has entered state: {}'.format(wait_for_state), file=sys.stderr)
                result = oci.wait_until(client, client.get_customization(result.data.id), 'lifecycle_state', wait_for_state, **wait_period_kwargs)
            except oci.exceptions.MaximumWaitTimeExceeded as e:
                # If we fail, we should show an error, but we should still provide the information to the customer
                click.echo('Failed to wait until the resource entered the specified state. Outputting last known resource state', file=sys.stderr)
                cli_util.render_response(result, ctx)
                sys.exit(2)
            except Exception:
                click.echo('Encountered error while waiting for resource to enter the specified state. Outputting last known resource state', file=sys.stderr)
                cli_util.render_response(result, ctx)
                raise
        else:
            click.echo('Unable to wait for the resource to enter the specified state', file=sys.stderr)
    cli_util.render_response(result, ctx)


@transcription_job_group.command(name=cli_util.override('speech.update_transcription_job.command_name', 'update'), help=u"""Updates the Transcription Job \n[Command Reference](updateTranscriptionJob)""")
@cli_util.option('--transcription-job-id', required=True, help=u"""Unique Transcription Job identifier.""")
@cli_util.option('--display-name', help=u"""A user-friendly display name for the job.""")
@cli_util.option('--description', help=u"""A short description of the job.""")
@cli_util.option('--freeform-tags', type=custom_types.CLI_COMPLEX_TYPE, help=u"""Simple key-value pair that is applied without any predefined name, type or scope. Exists for cross-compatibility only. Example: `{\"bar-key\": \"value\"}`.""" + custom_types.cli_complex_type.COMPLEX_TYPE_HELP)
@cli_util.option('--defined-tags', type=custom_types.CLI_COMPLEX_TYPE, help=u"""Defined tags for this resource. Each key is predefined and scoped to a namespace. Example: `{\"foo-namespace-1\": {\"bar-key-1\": \"value-1\", \"bar-key-2\": \"value-2\"}, \"foo-namespace-2\": {\"bar-key-1\": \"value-1\", \"bar-key-2\": \"value-2\"}}`.""" + custom_types.cli_complex_type.COMPLEX_TYPE_HELP)
@cli_util.option('--if-match', help=u"""For optimistic concurrency control. In the PUT or DELETE call for a resource, set the `if-match` parameter to the value of the etag from a previous GET or POST response for that resource. The resource will be updated or deleted only if the etag you provide matches the resource's current etag value.""")
@cli_util.option('--force', help="""Perform update without prompting for confirmation.""", is_flag=True)
@cli_util.option('--wait-for-state', type=custom_types.CliCaseInsensitiveChoice(["ACCEPTED", "IN_PROGRESS", "SUCCEEDED", "FAILED", "CANCELING", "CANCELED"]), multiple=True, help="""This operation creates, modifies or deletes a resource that has a defined lifecycle state. Specify this option to perform the action and then wait until the resource reaches a given lifecycle state. Multiple states can be specified, returning on the first state. For example, --wait-for-state ACCEPTED --wait-for-state CANCELED would return on whichever lifecycle state is reached first. If timeout is reached, a return code of 2 is returned. For any other error, a return code of 1 is returned.""")
@cli_util.option('--max-wait-seconds', type=click.INT, help="""The maximum time to wait for the resource to reach the lifecycle state defined by --wait-for-state. Defaults to 1200 seconds.""")
@cli_util.option('--wait-interval-seconds', type=click.INT, help="""Check every --wait-interval-seconds to see whether the resource has reached the lifecycle state defined by --wait-for-state. Defaults to 30 seconds.""")
@json_skeleton_utils.get_cli_json_input_option({'freeform-tags': {'module': 'ai_speech', 'class': 'dict(str, string)'}, 'defined-tags': {'module': 'ai_speech', 'class': 'dict(str, dict(str, object))'}})
@cli_util.help_option
@click.pass_context
@json_skeleton_utils.json_skeleton_generation_handler(input_params_to_complex_types={'freeform-tags': {'module': 'ai_speech', 'class': 'dict(str, string)'}, 'defined-tags': {'module': 'ai_speech', 'class': 'dict(str, dict(str, object))'}}, output_type={'module': 'ai_speech', 'class': 'TranscriptionJob'})
@cli_util.wrap_exceptions
def update_transcription_job(ctx, from_json, force, wait_for_state, max_wait_seconds, wait_interval_seconds, transcription_job_id, display_name, description, freeform_tags, defined_tags, if_match):

    if isinstance(transcription_job_id, six.string_types) and len(transcription_job_id.strip()) == 0:
        raise click.UsageError('Parameter --transcription-job-id cannot be whitespace or empty string')
    if not force:
        if freeform_tags or defined_tags:
            if not click.confirm("WARNING: Updates to freeform-tags and defined-tags will replace any existing values. Are you sure you want to continue?"):
                ctx.abort()

    kwargs = {}
    if if_match is not None:
        kwargs['if_match'] = if_match
    kwargs['opc_request_id'] = cli_util.use_or_generate_request_id(ctx.obj['request_id'])

    _details = {}

    if display_name is not None:
        _details['displayName'] = display_name

    if description is not None:
        _details['description'] = description

    if freeform_tags is not None:
        _details['freeformTags'] = cli_util.parse_json_parameter("freeform_tags", freeform_tags)

    if defined_tags is not None:
        _details['definedTags'] = cli_util.parse_json_parameter("defined_tags", defined_tags)

    client = cli_util.build_client('ai_speech', 'ai_service_speech', ctx)
    result = client.update_transcription_job(
        transcription_job_id=transcription_job_id,
        update_transcription_job_details=_details,
        **kwargs
    )
    if wait_for_state:

        if hasattr(client, 'get_transcription_job') and callable(getattr(client, 'get_transcription_job')):
            try:
                wait_period_kwargs = {}
                if max_wait_seconds is not None:
                    wait_period_kwargs['max_wait_seconds'] = max_wait_seconds
                if wait_interval_seconds is not None:
                    wait_period_kwargs['max_interval_seconds'] = wait_interval_seconds

                click.echo('Action completed. Waiting until the resource has entered state: {}'.format(wait_for_state), file=sys.stderr)
                result = oci.wait_until(client, client.get_transcription_job(result.data.id), 'lifecycle_state', wait_for_state, **wait_period_kwargs)
            except oci.exceptions.MaximumWaitTimeExceeded as e:
                # If we fail, we should show an error, but we should still provide the information to the customer
                click.echo('Failed to wait until the resource entered the specified state. Outputting last known resource state', file=sys.stderr)
                cli_util.render_response(result, ctx)
                sys.exit(2)
            except Exception:
                click.echo('Encountered error while waiting for resource to enter the specified state. Outputting last known resource state', file=sys.stderr)
                cli_util.render_response(result, ctx)
                raise
        else:
            click.echo('Unable to wait for the resource to enter the specified state', file=sys.stderr)
    cli_util.render_response(result, ctx)
