# -*- coding: utf-8 -*-
# Copyright 2022 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
import proto  # type: ignore

from google.cloud.aiplatform_v1beta1.types import (
    migratable_resource as gca_migratable_resource,
)
from google.cloud.aiplatform_v1beta1.types import operation
from google.rpc import status_pb2  # type: ignore


__protobuf__ = proto.module(
    package="google.cloud.aiplatform.v1beta1",
    manifest={
        "SearchMigratableResourcesRequest",
        "SearchMigratableResourcesResponse",
        "BatchMigrateResourcesRequest",
        "MigrateResourceRequest",
        "BatchMigrateResourcesResponse",
        "MigrateResourceResponse",
        "BatchMigrateResourcesOperationMetadata",
    },
)


class SearchMigratableResourcesRequest(proto.Message):
    r"""Request message for
    [MigrationService.SearchMigratableResources][google.cloud.aiplatform.v1beta1.MigrationService.SearchMigratableResources].

    Attributes:
        parent (str):
            Required. The location that the migratable resources should
            be searched from. It's the Vertex AI location that the
            resources can be migrated to, not the resources' original
            location. Format:
            ``projects/{project}/locations/{location}``
        page_size (int):
            The standard page size.
            The default and maximum value is 100.
        page_token (str):
            The standard page token.
        filter (str):
            A filter for your search. You can use the following types of
            filters:

            -  Resource type filters. The following strings filter for a
               specific type of
               [MigratableResource][google.cloud.aiplatform.v1beta1.MigratableResource]:

               -  ``ml_engine_model_version:*``
               -  ``automl_model:*``
               -  ``automl_dataset:*``
               -  ``data_labeling_dataset:*``

            -  "Migrated or not" filters. The following strings filter
               for resources that either have or have not already been
               migrated:

               -  ``last_migrate_time:*`` filters for migrated
                  resources.
               -  ``NOT last_migrate_time:*`` filters for not yet
                  migrated resources.
    """

    parent = proto.Field(
        proto.STRING,
        number=1,
    )
    page_size = proto.Field(
        proto.INT32,
        number=2,
    )
    page_token = proto.Field(
        proto.STRING,
        number=3,
    )
    filter = proto.Field(
        proto.STRING,
        number=4,
    )


class SearchMigratableResourcesResponse(proto.Message):
    r"""Response message for
    [MigrationService.SearchMigratableResources][google.cloud.aiplatform.v1beta1.MigrationService.SearchMigratableResources].

    Attributes:
        migratable_resources (Sequence[google.cloud.aiplatform_v1beta1.types.MigratableResource]):
            All migratable resources that can be migrated
            to the location specified in the request.
        next_page_token (str):
            The standard next-page token. The migratable_resources may
            not fill page_size in SearchMigratableResourcesRequest even
            when there are subsequent pages.
    """

    @property
    def raw_page(self):
        return self

    migratable_resources = proto.RepeatedField(
        proto.MESSAGE,
        number=1,
        message=gca_migratable_resource.MigratableResource,
    )
    next_page_token = proto.Field(
        proto.STRING,
        number=2,
    )


class BatchMigrateResourcesRequest(proto.Message):
    r"""Request message for
    [MigrationService.BatchMigrateResources][google.cloud.aiplatform.v1beta1.MigrationService.BatchMigrateResources].

    Attributes:
        parent (str):
            Required. The location of the migrated resource will live
            in. Format: ``projects/{project}/locations/{location}``
        migrate_resource_requests (Sequence[google.cloud.aiplatform_v1beta1.types.MigrateResourceRequest]):
            Required. The request messages specifying the
            resources to migrate. They must be in the same
            location as the destination. Up to 50 resources
            can be migrated in one batch.
    """

    parent = proto.Field(
        proto.STRING,
        number=1,
    )
    migrate_resource_requests = proto.RepeatedField(
        proto.MESSAGE,
        number=2,
        message="MigrateResourceRequest",
    )


class MigrateResourceRequest(proto.Message):
    r"""Config of migrating one resource from automl.googleapis.com,
    datalabeling.googleapis.com and ml.googleapis.com to Vertex AI.

    This message has `oneof`_ fields (mutually exclusive fields).
    For each oneof, at most one member field can be set at the same time.
    Setting any member of the oneof automatically clears all other
    members.

    .. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

    Attributes:
        migrate_ml_engine_model_version_config (google.cloud.aiplatform_v1beta1.types.MigrateResourceRequest.MigrateMlEngineModelVersionConfig):
            Config for migrating Version in
            ml.googleapis.com to Vertex AI's Model.

            This field is a member of `oneof`_ ``request``.
        migrate_automl_model_config (google.cloud.aiplatform_v1beta1.types.MigrateResourceRequest.MigrateAutomlModelConfig):
            Config for migrating Model in
            automl.googleapis.com to Vertex AI's Model.

            This field is a member of `oneof`_ ``request``.
        migrate_automl_dataset_config (google.cloud.aiplatform_v1beta1.types.MigrateResourceRequest.MigrateAutomlDatasetConfig):
            Config for migrating Dataset in
            automl.googleapis.com to Vertex AI's Dataset.

            This field is a member of `oneof`_ ``request``.
        migrate_data_labeling_dataset_config (google.cloud.aiplatform_v1beta1.types.MigrateResourceRequest.MigrateDataLabelingDatasetConfig):
            Config for migrating Dataset in
            datalabeling.googleapis.com to Vertex AI's
            Dataset.

            This field is a member of `oneof`_ ``request``.
    """

    class MigrateMlEngineModelVersionConfig(proto.Message):
        r"""Config for migrating version in ml.googleapis.com to Vertex
        AI's Model.

        Attributes:
            endpoint (str):
                Required. The ml.googleapis.com endpoint that this model
                version should be migrated from. Example values:

                -  ml.googleapis.com

                -  us-centrall-ml.googleapis.com

                -  europe-west4-ml.googleapis.com

                -  asia-east1-ml.googleapis.com
            model_version (str):
                Required. Full resource name of ml engine model version.
                Format:
                ``projects/{project}/models/{model}/versions/{version}``.
            model_display_name (str):
                Required. Display name of the model in Vertex
                AI. System will pick a display name if
                unspecified.
        """

        endpoint = proto.Field(
            proto.STRING,
            number=1,
        )
        model_version = proto.Field(
            proto.STRING,
            number=2,
        )
        model_display_name = proto.Field(
            proto.STRING,
            number=3,
        )

    class MigrateAutomlModelConfig(proto.Message):
        r"""Config for migrating Model in automl.googleapis.com to Vertex
        AI's Model.

        Attributes:
            model (str):
                Required. Full resource name of automl Model. Format:
                ``projects/{project}/locations/{location}/models/{model}``.
            model_display_name (str):
                Optional. Display name of the model in Vertex
                AI. System will pick a display name if
                unspecified.
        """

        model = proto.Field(
            proto.STRING,
            number=1,
        )
        model_display_name = proto.Field(
            proto.STRING,
            number=2,
        )

    class MigrateAutomlDatasetConfig(proto.Message):
        r"""Config for migrating Dataset in automl.googleapis.com to
        Vertex AI's Dataset.

        Attributes:
            dataset (str):
                Required. Full resource name of automl Dataset. Format:
                ``projects/{project}/locations/{location}/datasets/{dataset}``.
            dataset_display_name (str):
                Required. Display name of the Dataset in
                Vertex AI. System will pick a display name if
                unspecified.
        """

        dataset = proto.Field(
            proto.STRING,
            number=1,
        )
        dataset_display_name = proto.Field(
            proto.STRING,
            number=2,
        )

    class MigrateDataLabelingDatasetConfig(proto.Message):
        r"""Config for migrating Dataset in datalabeling.googleapis.com
        to Vertex AI's Dataset.

        Attributes:
            dataset (str):
                Required. Full resource name of data labeling Dataset.
                Format: ``projects/{project}/datasets/{dataset}``.
            dataset_display_name (str):
                Optional. Display name of the Dataset in
                Vertex AI. System will pick a display name if
                unspecified.
            migrate_data_labeling_annotated_dataset_configs (Sequence[google.cloud.aiplatform_v1beta1.types.MigrateResourceRequest.MigrateDataLabelingDatasetConfig.MigrateDataLabelingAnnotatedDatasetConfig]):
                Optional. Configs for migrating
                AnnotatedDataset in datalabeling.googleapis.com
                to Vertex AI's SavedQuery. The specified
                AnnotatedDatasets have to belong to the
                datalabeling Dataset.
        """

        class MigrateDataLabelingAnnotatedDatasetConfig(proto.Message):
            r"""Config for migrating AnnotatedDataset in
            datalabeling.googleapis.com to Vertex AI's SavedQuery.

            Attributes:
                annotated_dataset (str):
                    Required. Full resource name of data labeling
                    AnnotatedDataset. Format:
                    ``projects/{project}/datasets/{dataset}/annotatedDatasets/{annotated_dataset}``.
            """

            annotated_dataset = proto.Field(
                proto.STRING,
                number=1,
            )

        dataset = proto.Field(
            proto.STRING,
            number=1,
        )
        dataset_display_name = proto.Field(
            proto.STRING,
            number=2,
        )
        migrate_data_labeling_annotated_dataset_configs = proto.RepeatedField(
            proto.MESSAGE,
            number=3,
            message="MigrateResourceRequest.MigrateDataLabelingDatasetConfig.MigrateDataLabelingAnnotatedDatasetConfig",
        )

    migrate_ml_engine_model_version_config = proto.Field(
        proto.MESSAGE,
        number=1,
        oneof="request",
        message=MigrateMlEngineModelVersionConfig,
    )
    migrate_automl_model_config = proto.Field(
        proto.MESSAGE,
        number=2,
        oneof="request",
        message=MigrateAutomlModelConfig,
    )
    migrate_automl_dataset_config = proto.Field(
        proto.MESSAGE,
        number=3,
        oneof="request",
        message=MigrateAutomlDatasetConfig,
    )
    migrate_data_labeling_dataset_config = proto.Field(
        proto.MESSAGE,
        number=4,
        oneof="request",
        message=MigrateDataLabelingDatasetConfig,
    )


class BatchMigrateResourcesResponse(proto.Message):
    r"""Response message for
    [MigrationService.BatchMigrateResources][google.cloud.aiplatform.v1beta1.MigrationService.BatchMigrateResources].

    Attributes:
        migrate_resource_responses (Sequence[google.cloud.aiplatform_v1beta1.types.MigrateResourceResponse]):
            Successfully migrated resources.
    """

    migrate_resource_responses = proto.RepeatedField(
        proto.MESSAGE,
        number=1,
        message="MigrateResourceResponse",
    )


class MigrateResourceResponse(proto.Message):
    r"""Describes a successfully migrated resource.

    This message has `oneof`_ fields (mutually exclusive fields).
    For each oneof, at most one member field can be set at the same time.
    Setting any member of the oneof automatically clears all other
    members.

    .. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

    Attributes:
        dataset (str):
            Migrated Dataset's resource name.

            This field is a member of `oneof`_ ``migrated_resource``.
        model (str):
            Migrated Model's resource name.

            This field is a member of `oneof`_ ``migrated_resource``.
        migratable_resource (google.cloud.aiplatform_v1beta1.types.MigratableResource):
            Before migration, the identifier in
            ml.googleapis.com, automl.googleapis.com or
            datalabeling.googleapis.com.
    """

    dataset = proto.Field(
        proto.STRING,
        number=1,
        oneof="migrated_resource",
    )
    model = proto.Field(
        proto.STRING,
        number=2,
        oneof="migrated_resource",
    )
    migratable_resource = proto.Field(
        proto.MESSAGE,
        number=3,
        message=gca_migratable_resource.MigratableResource,
    )


class BatchMigrateResourcesOperationMetadata(proto.Message):
    r"""Runtime operation information for
    [MigrationService.BatchMigrateResources][google.cloud.aiplatform.v1beta1.MigrationService.BatchMigrateResources].

    Attributes:
        generic_metadata (google.cloud.aiplatform_v1beta1.types.GenericOperationMetadata):
            The common part of the operation metadata.
        partial_results (Sequence[google.cloud.aiplatform_v1beta1.types.BatchMigrateResourcesOperationMetadata.PartialResult]):
            Partial results that reflect the latest
            migration operation progress.
    """

    class PartialResult(proto.Message):
        r"""Represents a partial result in batch migration operation for one
        [MigrateResourceRequest][google.cloud.aiplatform.v1beta1.MigrateResourceRequest].

        This message has `oneof`_ fields (mutually exclusive fields).
        For each oneof, at most one member field can be set at the same time.
        Setting any member of the oneof automatically clears all other
        members.

        .. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

        Attributes:
            error (google.rpc.status_pb2.Status):
                The error result of the migration request in
                case of failure.

                This field is a member of `oneof`_ ``result``.
            model (str):
                Migrated model resource name.

                This field is a member of `oneof`_ ``result``.
            dataset (str):
                Migrated dataset resource name.

                This field is a member of `oneof`_ ``result``.
            request (google.cloud.aiplatform_v1beta1.types.MigrateResourceRequest):
                It's the same as the value in
                [MigrateResourceRequest.migrate_resource_requests][].
        """

        error = proto.Field(
            proto.MESSAGE,
            number=2,
            oneof="result",
            message=status_pb2.Status,
        )
        model = proto.Field(
            proto.STRING,
            number=3,
            oneof="result",
        )
        dataset = proto.Field(
            proto.STRING,
            number=4,
            oneof="result",
        )
        request = proto.Field(
            proto.MESSAGE,
            number=1,
            message="MigrateResourceRequest",
        )

    generic_metadata = proto.Field(
        proto.MESSAGE,
        number=1,
        message=operation.GenericOperationMetadata,
    )
    partial_results = proto.RepeatedField(
        proto.MESSAGE,
        number=2,
        message=PartialResult,
    )


__all__ = tuple(sorted(__protobuf__.manifest))
