# -*- coding: utf-8 -*-
# Copyright 2020 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 index as gca_index
from google.cloud.aiplatform_v1beta1.types import operation
from google.protobuf import field_mask_pb2  # type: ignore


__protobuf__ = proto.module(
    package="google.cloud.aiplatform.v1beta1",
    manifest={
        "CreateIndexRequest",
        "CreateIndexOperationMetadata",
        "GetIndexRequest",
        "ListIndexesRequest",
        "ListIndexesResponse",
        "UpdateIndexRequest",
        "UpdateIndexOperationMetadata",
        "DeleteIndexRequest",
        "NearestNeighborSearchOperationMetadata",
    },
)


class CreateIndexRequest(proto.Message):
    r"""Request message for
    [IndexService.CreateIndex][google.cloud.aiplatform.v1beta1.IndexService.CreateIndex].

    Attributes:
        parent (str):
            Required. The resource name of the Location to create the
            Index in. Format:
            ``projects/{project}/locations/{location}``
        index (google.cloud.aiplatform_v1beta1.types.Index):
            Required. The Index to create.
    """

    parent = proto.Field(proto.STRING, number=1,)
    index = proto.Field(proto.MESSAGE, number=2, message=gca_index.Index,)


class CreateIndexOperationMetadata(proto.Message):
    r"""Runtime operation information for
    [IndexService.CreateIndex][google.cloud.aiplatform.v1beta1.IndexService.CreateIndex].

    Attributes:
        generic_metadata (google.cloud.aiplatform_v1beta1.types.GenericOperationMetadata):
            The operation generic information.
        nearest_neighbor_search_operation_metadata (google.cloud.aiplatform_v1beta1.types.NearestNeighborSearchOperationMetadata):
            The operation metadata with regard to
            Matching Engine Index operation.
    """

    generic_metadata = proto.Field(
        proto.MESSAGE, number=1, message=operation.GenericOperationMetadata,
    )
    nearest_neighbor_search_operation_metadata = proto.Field(
        proto.MESSAGE, number=2, message="NearestNeighborSearchOperationMetadata",
    )


class GetIndexRequest(proto.Message):
    r"""Request message for
    [IndexService.GetIndex][google.cloud.aiplatform.v1beta1.IndexService.GetIndex]

    Attributes:
        name (str):
            Required. The name of the Index resource. Format:
            ``projects/{project}/locations/{location}/indexes/{index}``
    """

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


class ListIndexesRequest(proto.Message):
    r"""Request message for
    [IndexService.ListIndexes][google.cloud.aiplatform.v1beta1.IndexService.ListIndexes].

    Attributes:
        parent (str):
            Required. The resource name of the Location from which to
            list the Indexes. Format:
            ``projects/{project}/locations/{location}``
        filter (str):
            The standard list filter.
        page_size (int):
            The standard list page size.
        page_token (str):
            The standard list page token. Typically obtained via
            [ListIndexesResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListIndexesResponse.next_page_token]
            of the previous
            [IndexService.ListIndexes][google.cloud.aiplatform.v1beta1.IndexService.ListIndexes]
            call.
        read_mask (google.protobuf.field_mask_pb2.FieldMask):
            Mask specifying which fields to read.
    """

    parent = proto.Field(proto.STRING, number=1,)
    filter = proto.Field(proto.STRING, number=2,)
    page_size = proto.Field(proto.INT32, number=3,)
    page_token = proto.Field(proto.STRING, number=4,)
    read_mask = proto.Field(proto.MESSAGE, number=5, message=field_mask_pb2.FieldMask,)


class ListIndexesResponse(proto.Message):
    r"""Response message for
    [IndexService.ListIndexes][google.cloud.aiplatform.v1beta1.IndexService.ListIndexes].

    Attributes:
        indexes (Sequence[google.cloud.aiplatform_v1beta1.types.Index]):
            List of indexes in the requested page.
        next_page_token (str):
            A token to retrieve next page of results. Pass to
            [ListIndexesRequest.page_token][google.cloud.aiplatform.v1beta1.ListIndexesRequest.page_token]
            to obtain that page.
    """

    @property
    def raw_page(self):
        return self

    indexes = proto.RepeatedField(proto.MESSAGE, number=1, message=gca_index.Index,)
    next_page_token = proto.Field(proto.STRING, number=2,)


class UpdateIndexRequest(proto.Message):
    r"""Request message for
    [IndexService.UpdateIndex][google.cloud.aiplatform.v1beta1.IndexService.UpdateIndex].

    Attributes:
        index (google.cloud.aiplatform_v1beta1.types.Index):
            Required. The Index which updates the
            resource on the server.
        update_mask (google.protobuf.field_mask_pb2.FieldMask):
            The update mask applies to the resource. For the
            ``FieldMask`` definition, see
            [google.protobuf.FieldMask][google.protobuf.FieldMask].
    """

    index = proto.Field(proto.MESSAGE, number=1, message=gca_index.Index,)
    update_mask = proto.Field(
        proto.MESSAGE, number=2, message=field_mask_pb2.FieldMask,
    )


class UpdateIndexOperationMetadata(proto.Message):
    r"""Runtime operation information for
    [IndexService.UpdateIndex][google.cloud.aiplatform.v1beta1.IndexService.UpdateIndex].

    Attributes:
        generic_metadata (google.cloud.aiplatform_v1beta1.types.GenericOperationMetadata):
            The operation generic information.
        nearest_neighbor_search_operation_metadata (google.cloud.aiplatform_v1beta1.types.NearestNeighborSearchOperationMetadata):
            The operation metadata with regard to
            Matching Engine Index operation.
    """

    generic_metadata = proto.Field(
        proto.MESSAGE, number=1, message=operation.GenericOperationMetadata,
    )
    nearest_neighbor_search_operation_metadata = proto.Field(
        proto.MESSAGE, number=2, message="NearestNeighborSearchOperationMetadata",
    )


class DeleteIndexRequest(proto.Message):
    r"""Request message for
    [IndexService.DeleteIndex][google.cloud.aiplatform.v1beta1.IndexService.DeleteIndex].

    Attributes:
        name (str):
            Required. The name of the Index resource to be deleted.
            Format:
            ``projects/{project}/locations/{location}/indexes/{index}``
    """

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


class NearestNeighborSearchOperationMetadata(proto.Message):
    r"""Runtime operation metadata with regard to Matching Engine
    Index.

    Attributes:
        content_validation_stats (Sequence[google.cloud.aiplatform_v1beta1.types.NearestNeighborSearchOperationMetadata.ContentValidationStats]):
            The validation stats of the content (per file) to be
            inserted or updated on the Matching Engine Index resource.
            Populated if contentsDeltaUri is provided as part of
            [Index.metadata][google.cloud.aiplatform.v1beta1.Index.metadata].
            Please note that, currently for those files that are broken
            or has unsupported file format, we will not have the stats
            for those files.
        data_bytes_count (int):
            The ingested data size in bytes.
    """

    class RecordError(proto.Message):
        r"""

        Attributes:
            error_type (google.cloud.aiplatform_v1beta1.types.NearestNeighborSearchOperationMetadata.RecordError.RecordErrorType):
                The error type of this record.
            error_message (str):
                A human-readable message that is shown to the user to help
                them fix the error. Note that this message may change from
                time to time, your code should check against error_type as
                the source of truth.
            source_gcs_uri (str):
                Cloud Storage URI pointing to the original
                file in user's bucket.
            embedding_id (str):
                Empty if the embedding id is failed to parse.
            raw_record (str):
                The original content of this record.
        """

        class RecordErrorType(proto.Enum):
            r""""""
            ERROR_TYPE_UNSPECIFIED = 0
            EMPTY_LINE = 1
            INVALID_JSON_SYNTAX = 2
            INVALID_CSV_SYNTAX = 3
            INVALID_AVRO_SYNTAX = 4
            INVALID_EMBEDDING_ID = 5
            EMBEDDING_SIZE_MISMATCH = 6
            NAMESPACE_MISSING = 7

        error_type = proto.Field(
            proto.ENUM,
            number=1,
            enum="NearestNeighborSearchOperationMetadata.RecordError.RecordErrorType",
        )
        error_message = proto.Field(proto.STRING, number=2,)
        source_gcs_uri = proto.Field(proto.STRING, number=3,)
        embedding_id = proto.Field(proto.STRING, number=4,)
        raw_record = proto.Field(proto.STRING, number=5,)

    class ContentValidationStats(proto.Message):
        r"""

        Attributes:
            source_gcs_uri (str):
                Cloud Storage URI pointing to the original
                file in user's bucket.
            valid_record_count (int):
                Number of records in this file that were
                successfully processed.
            invalid_record_count (int):
                Number of records in this file we skipped due
                to validate errors.
            partial_errors (Sequence[google.cloud.aiplatform_v1beta1.types.NearestNeighborSearchOperationMetadata.RecordError]):
                The detail information of the partial
                failures encountered for those invalid records
                that couldn't be parsed. Up to 50 partial errors
                will be reported.
        """

        source_gcs_uri = proto.Field(proto.STRING, number=1,)
        valid_record_count = proto.Field(proto.INT64, number=2,)
        invalid_record_count = proto.Field(proto.INT64, number=3,)
        partial_errors = proto.RepeatedField(
            proto.MESSAGE,
            number=4,
            message="NearestNeighborSearchOperationMetadata.RecordError",
        )

    content_validation_stats = proto.RepeatedField(
        proto.MESSAGE, number=1, message=ContentValidationStats,
    )
    data_bytes_count = proto.Field(proto.INT64, number=2,)


__all__ = tuple(sorted(__protobuf__.manifest))
