// Copyright 2018 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.

syntax = "proto3";

package google.cloud.automl.v1beta1;

import "google/api/annotations.proto";
import "google/cloud/automl/v1beta1/annotation_payload.proto";
import "google/cloud/automl/v1beta1/dataset.proto";
import "google/cloud/automl/v1beta1/io.proto";
import "google/cloud/automl/v1beta1/model.proto";
import "google/cloud/automl/v1beta1/model_evaluation.proto";
import "google/cloud/automl/v1beta1/operations.proto";
import "google/longrunning/operations.proto";
import "google/protobuf/field_mask.proto";

option go_package = "google.golang.org/genproto/googleapis/cloud/automl/v1beta1;automl";
option java_multiple_files = true;
option java_outer_classname = "AutoMlProto";
option java_package = "com.google.cloud.automl.v1beta1";
option php_namespace = "Google\\Cloud\\AutoMl\\V1beta1";


// AutoML Server API.
//
// The resource names are assigned by the server.
// The server never reuses names that it has created after the resources with
// those names are deleted.
//
// An ID of a resource is the last element of the item's resource name. For
// `projects/{project_id}/locations/{location_id}/datasets/{dataset_id}`, then
// the id for the item is `{dataset_id}`.
//
service AutoMl {
  // Creates a dataset.
  rpc CreateDataset(CreateDatasetRequest) returns (Dataset) {
    option (google.api.http) = {
      post: "/v1beta1/{parent=projects/*/locations/*}/datasets"
      body: "dataset"
    };
  }

  // Gets a dataset.
  rpc GetDataset(GetDatasetRequest) returns (Dataset) {
    option (google.api.http) = {
      get: "/v1beta1/{name=projects/*/locations/*/datasets/*}"
    };
  }

  // Lists datasets in a project.
  rpc ListDatasets(ListDatasetsRequest) returns (ListDatasetsResponse) {
    option (google.api.http) = {
      get: "/v1beta1/{parent=projects/*/locations/*}/datasets"
    };
  }

  // Deletes a dataset and all of its contents.
  // Returns empty response in the
  // [response][google.longrunning.Operation.response] field when it completes,
  // and `delete_details` in the
  // [metadata][google.longrunning.Operation.metadata] field.
  rpc DeleteDataset(DeleteDatasetRequest) returns (google.longrunning.Operation) {
    option (google.api.http) = {
      delete: "/v1beta1/{name=projects/*/locations/*/datasets/*}"
    };
  }

  // Imports data into a dataset.
  // Returns an empty response in the
  // [response][google.longrunning.Operation.response] field when it completes.
  rpc ImportData(ImportDataRequest) returns (google.longrunning.Operation) {
    option (google.api.http) = {
      post: "/v1beta1/{name=projects/*/locations/*/datasets/*}:importData"
      body: "*"
    };
  }

  // Exports dataset's data to a Google Cloud Storage bucket.
  // Returns an empty response in the
  // [response][google.longrunning.Operation.response] field when it completes.
  rpc ExportData(ExportDataRequest) returns (google.longrunning.Operation) {
    option (google.api.http) = {
      post: "/v1beta1/{name=projects/*/locations/*/datasets/*}:exportData"
      body: "*"
    };
  }

  // Creates a model.
  // Returns a Model in the [response][google.longrunning.Operation.response]
  // field when it completes.
  // When you create a model, several model evaluations are created for it:
  // a global evaluation, and one evaluation for each annotation spec.
  rpc CreateModel(CreateModelRequest) returns (google.longrunning.Operation) {
    option (google.api.http) = {
      post: "/v1beta1/{parent=projects/*/locations/*}/models"
      body: "model"
    };
  }

  // Gets a model.
  rpc GetModel(GetModelRequest) returns (Model) {
    option (google.api.http) = {
      get: "/v1beta1/{name=projects/*/locations/*/models/*}"
    };
  }

  // Lists models.
  rpc ListModels(ListModelsRequest) returns (ListModelsResponse) {
    option (google.api.http) = {
      get: "/v1beta1/{parent=projects/*/locations/*}/models"
    };
  }

  // Deletes a model.
  // If a model is already deployed, this only deletes the model in AutoML BE,
  // and does not change the status of the deployed model in the production
  // environment.
  // Returns `google.protobuf.Empty` in the
  // [response][google.longrunning.Operation.response] field when it completes,
  // and `delete_details` in the
  // [metadata][google.longrunning.Operation.metadata] field.
  rpc DeleteModel(DeleteModelRequest) returns (google.longrunning.Operation) {
    option (google.api.http) = {
      delete: "/v1beta1/{name=projects/*/locations/*/models/*}"
    };
  }

  // Deploys model.
  // Returns a [DeployModelResponse][] in the
  // [response][google.longrunning.Operation.response] field when it completes.
  rpc DeployModel(DeployModelRequest) returns (google.longrunning.Operation) {
    option (google.api.http) = {
      post: "/v1beta1/{name=projects/*/locations/*/models/*}:deploy"
      body: "*"
    };
  }

  // Undeploys model.
  // Returns an `UndeployModelResponse` in the
  // [response][google.longrunning.Operation.response] field when it completes.
  rpc UndeployModel(UndeployModelRequest) returns (google.longrunning.Operation) {
    option (google.api.http) = {
      post: "/v1beta1/{name=projects/*/locations/*/models/*}:undeploy"
      body: "*"
    };
  }

  // Gets a model evaluation.
  rpc GetModelEvaluation(GetModelEvaluationRequest) returns (ModelEvaluation) {
    option (google.api.http) = {
      get: "/v1beta1/{name=projects/*/locations/*/models/*/modelEvaluations/*}"
    };
  }

  // Lists model evaluations.
  rpc ListModelEvaluations(ListModelEvaluationsRequest) returns (ListModelEvaluationsResponse) {
    option (google.api.http) = {
      get: "/v1beta1/{parent=projects/*/locations/*/models/*}/modelEvaluations"
    };
  }
}

// Request message for [AutoMl.CreateDataset][google.cloud.automl.v1beta1.AutoMl.CreateDataset].
message CreateDatasetRequest {
  // The resource name of the project to create the dataset for.
  string parent = 1;

  // The dataset to create.
  Dataset dataset = 2;
}

// Request message for [AutoMl.GetDataset][google.cloud.automl.v1beta1.AutoMl.GetDataset].
message GetDatasetRequest {
  // The resource name of the dataset to retrieve.
  string name = 1;
}

// Request message for [AutoMl.ListDatasets][google.cloud.automl.v1beta1.AutoMl.ListDatasets].
message ListDatasetsRequest {
  // The resource name of the project from which to list datasets.
  string parent = 1;

  // An expression for filtering the results of the request.
  //
  //   * `dataset_metadata` - for existence of the case.
  //
  // An example of using the filter is:
  //
  //   * `translation_dataset_metadata:*` --> The dataset has
  //                                          translation_dataset_metadata.
  string filter = 3;

  // Requested page size. Server may return fewer results than requested.
  // If unspecified, server will pick a default size.
  int32 page_size = 4;

  // A token identifying a page of results for the server to return
  // Typically obtained via
  // [ListDatasetsResponse.next_page_token][google.cloud.automl.v1beta1.ListDatasetsResponse.next_page_token] of the previous
  // [AutoMl.ListDatasets][google.cloud.automl.v1beta1.AutoMl.ListDatasets] call.
  string page_token = 6;
}

// Response message for [AutoMl.ListDatasets][google.cloud.automl.v1beta1.AutoMl.ListDatasets].
message ListDatasetsResponse {
  // The datasets read.
  repeated Dataset datasets = 1;

  // A token to retrieve next page of results.
  // Pass to [ListDatasetsRequest.page_token][google.cloud.automl.v1beta1.ListDatasetsRequest.page_token] to obtain that page.
  string next_page_token = 2;
}

// Request message for [AutoMl.DeleteDataset][google.cloud.automl.v1beta1.AutoMl.DeleteDataset].
message DeleteDatasetRequest {
  // The resource name of the dataset to delete.
  string name = 1;
}

// Request message for [AutoMl.ImportData][google.cloud.automl.v1beta1.AutoMl.ImportData].
message ImportDataRequest {
  // Required. Dataset name. Dataset must already exist. All imported
  // annotations and examples will be added.
  string name = 1;

  // Required. The desired input location.
  InputConfig input_config = 3;
}

// Request message for [AutoMl.ExportData][google.cloud.automl.v1beta1.AutoMl.ExportData].
message ExportDataRequest {
  // Required. The resource name of the dataset.
  string name = 1;

  // Required. The desired output location.
  OutputConfig output_config = 3;
}

// Request message for [AutoMl.CreateModel][google.cloud.automl.v1beta1.AutoMl.CreateModel].
message CreateModelRequest {
  // Resource name of the parent project where the model is being created.
  string parent = 1;

  // The model to create.
  Model model = 4;
}

// Request message for [AutoMl.GetModel][google.cloud.automl.v1beta1.AutoMl.GetModel].
message GetModelRequest {
  // Resource name of the model.
  string name = 1;
}

// Request message for [AutoMl.ListModels][google.cloud.automl.v1beta1.AutoMl.ListModels].
message ListModelsRequest {
  // Resource name of the project, from which to list the models.
  string parent = 1;

  // An expression for filtering the results of the request.
  //
  //   * `model_metadata` - for existence of the case.
  //   * `dataset_id` - for = or !=.
  //
  // Some examples of using the filter are:
  //
  //   * `image_classification_model_metadata:*` --> The model has
  //                                        image_classification_model_metadata.
  //   * `dataset_id=5` --> The model was created from a sibling dataset with
  //                    ID 5.
  string filter = 3;

  // Requested page size.
  int32 page_size = 4;

  // A token identifying a page of results for the server to return
  // Typically obtained via
  // [ListModelsResponse.next_page_token][google.cloud.automl.v1beta1.ListModelsResponse.next_page_token] of the previous
  // [AutoMl.ListModels][google.cloud.automl.v1beta1.AutoMl.ListModels] call.
  string page_token = 6;
}

// Response message for [AutoMl.ListModels][google.cloud.automl.v1beta1.AutoMl.ListModels].
message ListModelsResponse {
  // List of models in the requested page.
  repeated Model model = 1;

  // A token to retrieve next page of results.
  // Pass to [ListModels.page_token][] to obtain that page.
  string next_page_token = 2;
}

// Request message for [AutoMl.DeleteModel][google.cloud.automl.v1beta1.AutoMl.DeleteModel].
message DeleteModelRequest {
  // Resource name of the model being deleted.
  string name = 1;
}

// Request message for [AutoMl.DeployModel][google.cloud.automl.v1beta1.AutoMl.DeployModel].
message DeployModelRequest {
  // Resource name of the model to deploy.
  string name = 1;
}

// Request message for [AutoMl.UndeployModel][google.cloud.automl.v1beta1.AutoMl.UndeployModel].
message UndeployModelRequest {
  // Resource name of the model to undeploy.
  string name = 1;
}

// Request message for [AutoMl.GetModelEvaluation][google.cloud.automl.v1beta1.AutoMl.GetModelEvaluation].
message GetModelEvaluationRequest {
  // Resource name for the model evaluation.
  string name = 1;
}

// Request message for [AutoMl.ListModelEvaluations][google.cloud.automl.v1beta1.AutoMl.ListModelEvaluations].
message ListModelEvaluationsRequest {
  // Resource name of the model to list the model evaluations for.
  // If modelId is set as "-", this will list model evaluations from across all
  // models of the parent location.
  string parent = 1;

  // An expression for filtering the results of the request.
  //
  //   * `annotation_spec_id` - for =, !=  or existence. See example below for
  //                          the last.
  //
  // Some examples of using the filter are:
  //
  //   * `annotation_spec_id!=4` --> The model evaluation was done for
  //                             annotation spec with ID different than 4.
  //   * `NOT annotation_spec_id:*` --> The model evaluation was done for
  //                                aggregate of all annotation specs.
  string filter = 3;

  // Requested page size.
  int32 page_size = 4;

  // A token identifying a page of results for the server to return.
  // Typically obtained via
  // `ListModelEvaluationsResponse.next_page_token` of the previous
  // [AutoMl.ListModelEvaluations][google.cloud.automl.v1beta1.AutoMl.ListModelEvaluations] call.
  string page_token = 6;
}

// Response message for [AutoMl.ListModelEvaluations][google.cloud.automl.v1beta1.AutoMl.ListModelEvaluations].
message ListModelEvaluationsResponse {
  // List of model evaluations in the requested page.
  repeated ModelEvaluation model_evaluation = 1;

  // A token to retrieve next page of results.
  // Pass to [ListModelEvaluations.page_token][] to obtain that page.
  string next_page_token = 2;
}
