# -*- 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 operation
from google.cloud.aiplatform_v1beta1.types import study as gca_study
from google.protobuf import timestamp_pb2  # type: ignore


__protobuf__ = proto.module(
    package="google.cloud.aiplatform.v1beta1",
    manifest={
        "GetStudyRequest",
        "CreateStudyRequest",
        "ListStudiesRequest",
        "ListStudiesResponse",
        "DeleteStudyRequest",
        "LookupStudyRequest",
        "SuggestTrialsRequest",
        "SuggestTrialsResponse",
        "SuggestTrialsMetadata",
        "CreateTrialRequest",
        "GetTrialRequest",
        "ListTrialsRequest",
        "ListTrialsResponse",
        "AddTrialMeasurementRequest",
        "CompleteTrialRequest",
        "DeleteTrialRequest",
        "CheckTrialEarlyStoppingStateRequest",
        "CheckTrialEarlyStoppingStateResponse",
        "CheckTrialEarlyStoppingStateMetatdata",
        "StopTrialRequest",
        "ListOptimalTrialsRequest",
        "ListOptimalTrialsResponse",
    },
)


class GetStudyRequest(proto.Message):
    r"""Request message for
    [VizierService.GetStudy][google.cloud.aiplatform.v1beta1.VizierService.GetStudy].

    Attributes:
        name (str):
            Required. The name of the Study resource. Format:
            ``projects/{project}/locations/{location}/studies/{study}``
    """

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


class CreateStudyRequest(proto.Message):
    r"""Request message for
    [VizierService.CreateStudy][google.cloud.aiplatform.v1beta1.VizierService.CreateStudy].

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

    parent = proto.Field(proto.STRING, number=1,)
    study = proto.Field(proto.MESSAGE, number=2, message=gca_study.Study,)


class ListStudiesRequest(proto.Message):
    r"""Request message for
    [VizierService.ListStudies][google.cloud.aiplatform.v1beta1.VizierService.ListStudies].

    Attributes:
        parent (str):
            Required. The resource name of the Location to list the
            Study from. Format:
            ``projects/{project}/locations/{location}``
        page_token (str):
            Optional. A page token to request the next
            page of results. If unspecified, there are no
            subsequent pages.
        page_size (int):
            Optional. The maximum number of studies to
            return per "page" of results. If unspecified,
            service will pick an appropriate default.
    """

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


class ListStudiesResponse(proto.Message):
    r"""Response message for
    [VizierService.ListStudies][google.cloud.aiplatform.v1beta1.VizierService.ListStudies].

    Attributes:
        studies (Sequence[google.cloud.aiplatform_v1beta1.types.Study]):
            The studies associated with the project.
        next_page_token (str):
            Passes this token as the ``page_token`` field of the request
            for a subsequent call. If this field is omitted, there are
            no subsequent pages.
    """

    @property
    def raw_page(self):
        return self

    studies = proto.RepeatedField(proto.MESSAGE, number=1, message=gca_study.Study,)
    next_page_token = proto.Field(proto.STRING, number=2,)


class DeleteStudyRequest(proto.Message):
    r"""Request message for
    [VizierService.DeleteStudy][google.cloud.aiplatform.v1beta1.VizierService.DeleteStudy].

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

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


class LookupStudyRequest(proto.Message):
    r"""Request message for
    [VizierService.LookupStudy][google.cloud.aiplatform.v1beta1.VizierService.LookupStudy].

    Attributes:
        parent (str):
            Required. The resource name of the Location to get the Study
            from. Format: ``projects/{project}/locations/{location}``
        display_name (str):
            Required. The user-defined display name of
            the Study
    """

    parent = proto.Field(proto.STRING, number=1,)
    display_name = proto.Field(proto.STRING, number=2,)


class SuggestTrialsRequest(proto.Message):
    r"""Request message for
    [VizierService.SuggestTrials][google.cloud.aiplatform.v1beta1.VizierService.SuggestTrials].

    Attributes:
        parent (str):
            Required. The project and location that the Study belongs
            to. Format:
            ``projects/{project}/locations/{location}/studies/{study}``
        suggestion_count (int):
            Required. The number of suggestions
            requested.
        client_id (str):
            Required. The identifier of the client that is requesting
            the suggestion.

            If multiple SuggestTrialsRequests have the same
            ``client_id``, the service will return the identical
            suggested Trial if the Trial is pending, and provide a new
            Trial if the last suggested Trial was completed.
    """

    parent = proto.Field(proto.STRING, number=1,)
    suggestion_count = proto.Field(proto.INT32, number=2,)
    client_id = proto.Field(proto.STRING, number=3,)


class SuggestTrialsResponse(proto.Message):
    r"""Response message for
    [VizierService.SuggestTrials][google.cloud.aiplatform.v1beta1.VizierService.SuggestTrials].

    Attributes:
        trials (Sequence[google.cloud.aiplatform_v1beta1.types.Trial]):
            A list of Trials.
        study_state (google.cloud.aiplatform_v1beta1.types.Study.State):
            The state of the Study.
        start_time (google.protobuf.timestamp_pb2.Timestamp):
            The time at which the operation was started.
        end_time (google.protobuf.timestamp_pb2.Timestamp):
            The time at which operation processing
            completed.
    """

    trials = proto.RepeatedField(proto.MESSAGE, number=1, message=gca_study.Trial,)
    study_state = proto.Field(proto.ENUM, number=2, enum=gca_study.Study.State,)
    start_time = proto.Field(proto.MESSAGE, number=3, message=timestamp_pb2.Timestamp,)
    end_time = proto.Field(proto.MESSAGE, number=4, message=timestamp_pb2.Timestamp,)


class SuggestTrialsMetadata(proto.Message):
    r"""Details of operations that perform Trials suggestion.

    Attributes:
        generic_metadata (google.cloud.aiplatform_v1beta1.types.GenericOperationMetadata):
            Operation metadata for suggesting Trials.
        client_id (str):
            The identifier of the client that is requesting the
            suggestion.

            If multiple SuggestTrialsRequests have the same
            ``client_id``, the service will return the identical
            suggested Trial if the Trial is pending, and provide a new
            Trial if the last suggested Trial was completed.
    """

    generic_metadata = proto.Field(
        proto.MESSAGE, number=1, message=operation.GenericOperationMetadata,
    )
    client_id = proto.Field(proto.STRING, number=2,)


class CreateTrialRequest(proto.Message):
    r"""Request message for
    [VizierService.CreateTrial][google.cloud.aiplatform.v1beta1.VizierService.CreateTrial].

    Attributes:
        parent (str):
            Required. The resource name of the Study to create the Trial
            in. Format:
            ``projects/{project}/locations/{location}/studies/{study}``
        trial (google.cloud.aiplatform_v1beta1.types.Trial):
            Required. The Trial to create.
    """

    parent = proto.Field(proto.STRING, number=1,)
    trial = proto.Field(proto.MESSAGE, number=2, message=gca_study.Trial,)


class GetTrialRequest(proto.Message):
    r"""Request message for
    [VizierService.GetTrial][google.cloud.aiplatform.v1beta1.VizierService.GetTrial].

    Attributes:
        name (str):
            Required. The name of the Trial resource. Format:
            ``projects/{project}/locations/{location}/studies/{study}/trials/{trial}``
    """

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


class ListTrialsRequest(proto.Message):
    r"""Request message for
    [VizierService.ListTrials][google.cloud.aiplatform.v1beta1.VizierService.ListTrials].

    Attributes:
        parent (str):
            Required. The resource name of the Study to list the Trial
            from. Format:
            ``projects/{project}/locations/{location}/studies/{study}``
        page_token (str):
            Optional. A page token to request the next
            page of results. If unspecified, there are no
            subsequent pages.
        page_size (int):
            Optional. The number of Trials to retrieve
            per "page" of results. If unspecified, the
            service will pick an appropriate default.
    """

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


class ListTrialsResponse(proto.Message):
    r"""Response message for
    [VizierService.ListTrials][google.cloud.aiplatform.v1beta1.VizierService.ListTrials].

    Attributes:
        trials (Sequence[google.cloud.aiplatform_v1beta1.types.Trial]):
            The Trials associated with the Study.
        next_page_token (str):
            Pass this token as the ``page_token`` field of the request
            for a subsequent call. If this field is omitted, there are
            no subsequent pages.
    """

    @property
    def raw_page(self):
        return self

    trials = proto.RepeatedField(proto.MESSAGE, number=1, message=gca_study.Trial,)
    next_page_token = proto.Field(proto.STRING, number=2,)


class AddTrialMeasurementRequest(proto.Message):
    r"""Request message for
    [VizierService.AddTrialMeasurement][google.cloud.aiplatform.v1beta1.VizierService.AddTrialMeasurement].

    Attributes:
        trial_name (str):
            Required. The name of the trial to add measurement. Format:
            ``projects/{project}/locations/{location}/studies/{study}/trials/{trial}``
        measurement (google.cloud.aiplatform_v1beta1.types.Measurement):
            Required. The measurement to be added to a
            Trial.
    """

    trial_name = proto.Field(proto.STRING, number=1,)
    measurement = proto.Field(proto.MESSAGE, number=3, message=gca_study.Measurement,)


class CompleteTrialRequest(proto.Message):
    r"""Request message for
    [VizierService.CompleteTrial][google.cloud.aiplatform.v1beta1.VizierService.CompleteTrial].

    Attributes:
        name (str):
            Required. The Trial's name. Format:
            ``projects/{project}/locations/{location}/studies/{study}/trials/{trial}``
        final_measurement (google.cloud.aiplatform_v1beta1.types.Measurement):
            Optional. If provided, it will be used as the completed
            Trial's final_measurement; Otherwise, the service will
            auto-select a previously reported measurement as the
            final-measurement
        trial_infeasible (bool):
            Optional. True if the Trial cannot be run with the given
            Parameter, and final_measurement will be ignored.
        infeasible_reason (str):
            Optional. A human readable reason why the trial was
            infeasible. This should only be provided if
            ``trial_infeasible`` is true.
    """

    name = proto.Field(proto.STRING, number=1,)
    final_measurement = proto.Field(
        proto.MESSAGE, number=2, message=gca_study.Measurement,
    )
    trial_infeasible = proto.Field(proto.BOOL, number=3,)
    infeasible_reason = proto.Field(proto.STRING, number=4,)


class DeleteTrialRequest(proto.Message):
    r"""Request message for
    [VizierService.DeleteTrial][google.cloud.aiplatform.v1beta1.VizierService.DeleteTrial].

    Attributes:
        name (str):
            Required. The Trial's name. Format:
            ``projects/{project}/locations/{location}/studies/{study}/trials/{trial}``
    """

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


class CheckTrialEarlyStoppingStateRequest(proto.Message):
    r"""Request message for
    [VizierService.CheckTrialEarlyStoppingState][google.cloud.aiplatform.v1beta1.VizierService.CheckTrialEarlyStoppingState].

    Attributes:
        trial_name (str):
            Required. The Trial's name. Format:
            ``projects/{project}/locations/{location}/studies/{study}/trials/{trial}``
    """

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


class CheckTrialEarlyStoppingStateResponse(proto.Message):
    r"""Response message for
    [VizierService.CheckTrialEarlyStoppingState][google.cloud.aiplatform.v1beta1.VizierService.CheckTrialEarlyStoppingState].

    Attributes:
        should_stop (bool):
            True if the Trial should stop.
    """

    should_stop = proto.Field(proto.BOOL, number=1,)


class CheckTrialEarlyStoppingStateMetatdata(proto.Message):
    r"""This message will be placed in the metadata field of a
    google.longrunning.Operation associated with a
    CheckTrialEarlyStoppingState request.

    Attributes:
        generic_metadata (google.cloud.aiplatform_v1beta1.types.GenericOperationMetadata):
            Operation metadata for suggesting Trials.
        study (str):
            The name of the Study that the Trial belongs
            to.
        trial (str):
            The Trial name.
    """

    generic_metadata = proto.Field(
        proto.MESSAGE, number=1, message=operation.GenericOperationMetadata,
    )
    study = proto.Field(proto.STRING, number=2,)
    trial = proto.Field(proto.STRING, number=3,)


class StopTrialRequest(proto.Message):
    r"""Request message for
    [VizierService.StopTrial][google.cloud.aiplatform.v1beta1.VizierService.StopTrial].

    Attributes:
        name (str):
            Required. The Trial's name. Format:
            ``projects/{project}/locations/{location}/studies/{study}/trials/{trial}``
    """

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


class ListOptimalTrialsRequest(proto.Message):
    r"""Request message for
    [VizierService.ListOptimalTrials][google.cloud.aiplatform.v1beta1.VizierService.ListOptimalTrials].

    Attributes:
        parent (str):
            Required. The name of the Study that the
            optimal Trial belongs to.
    """

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


class ListOptimalTrialsResponse(proto.Message):
    r"""Response message for
    [VizierService.ListOptimalTrials][google.cloud.aiplatform.v1beta1.VizierService.ListOptimalTrials].

    Attributes:
        optimal_trials (Sequence[google.cloud.aiplatform_v1beta1.types.Trial]):
            The pareto-optimal Trials for multiple objective Study or
            the optimal trial for single objective Study. The definition
            of pareto-optimal can be checked in wiki page.
            https://en.wikipedia.org/wiki/Pareto_efficiency
    """

    optimal_trials = proto.RepeatedField(
        proto.MESSAGE, number=1, message=gca_study.Trial,
    )


__all__ = tuple(sorted(__protobuf__.manifest))
