// 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.

syntax = "proto3";

package google.cloud.aiplatform.v1beta1;

import "google/api/annotations.proto";
import "google/api/client.proto";
import "google/api/field_behavior.proto";
import "google/api/resource.proto";
import "google/cloud/aiplatform/v1beta1/io.proto";
import "google/cloud/aiplatform/v1beta1/model.proto";
import "google/cloud/aiplatform/v1beta1/model_evaluation.proto";
import "google/cloud/aiplatform/v1beta1/model_evaluation_slice.proto";
import "google/cloud/aiplatform/v1beta1/operation.proto";
import "google/longrunning/operations.proto";
import "google/protobuf/field_mask.proto";

option go_package = "google.golang.org/genproto/googleapis/cloud/aiplatform/v1beta1;aiplatform";
option java_multiple_files = true;
option java_outer_classname = "ModelServiceProto";
option java_package = "com.google.cloud.aiplatform.v1beta1";

// A service for managing AI Platform's machine learning Models.
service ModelService {
  option (google.api.default_host) = "aiplatform.googleapis.com";
  option (google.api.oauth_scopes) = "https://www.googleapis.com/auth/cloud-platform";

  // Uploads a Model artifact into AI Platform.
  rpc UploadModel(UploadModelRequest) returns (google.longrunning.Operation) {
    option (google.api.http) = {
      post: "/v1beta1/{parent=projects/*/locations/*}/models:upload"
      body: "*"
    };
    option (google.api.method_signature) = "parent,model";
    option (google.longrunning.operation_info) = {
      response_type: "UploadModelResponse"
      metadata_type: "UploadModelOperationMetadata"
    };
  }

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

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

  // Updates a Model.
  rpc UpdateModel(UpdateModelRequest) returns (Model) {
    option (google.api.http) = {
      patch: "/v1beta1/{model.name=projects/*/locations/*/models/*}"
      body: "model"
    };
    option (google.api.method_signature) = "model,update_mask";
  }

  // Deletes a Model.
  // Note: Model can only be deleted if there are no DeployedModels created
  // from it.
  rpc DeleteModel(DeleteModelRequest) returns (google.longrunning.Operation) {
    option (google.api.http) = {
      delete: "/v1beta1/{name=projects/*/locations/*/models/*}"
    };
    option (google.api.method_signature) = "name";
    option (google.longrunning.operation_info) = {
      response_type: "google.protobuf.Empty"
      metadata_type: "DeleteOperationMetadata"
    };
  }

  // Exports a trained, exportable, Model to a location specified by the
  // user. A Model is considered to be exportable if it has at least one
  // [supported export format][google.cloud.aiplatform.v1beta1.Model.supported_export_formats].
  rpc ExportModel(ExportModelRequest) returns (google.longrunning.Operation) {
    option (google.api.http) = {
      post: "/v1beta1/{name=projects/*/locations/*/models/*}:export"
      body: "*"
    };
    option (google.api.method_signature) = "name,output_config";
    option (google.longrunning.operation_info) = {
      response_type: "ExportModelResponse"
      metadata_type: "ExportModelOperationMetadata"
    };
  }

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

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

  // Gets a ModelEvaluationSlice.
  rpc GetModelEvaluationSlice(GetModelEvaluationSliceRequest) returns (ModelEvaluationSlice) {
    option (google.api.http) = {
      get: "/v1beta1/{name=projects/*/locations/*/models/*/evaluations/*/slices/*}"
    };
    option (google.api.method_signature) = "name";
  }

  // Lists ModelEvaluationSlices in a ModelEvaluation.
  rpc ListModelEvaluationSlices(ListModelEvaluationSlicesRequest) returns (ListModelEvaluationSlicesResponse) {
    option (google.api.http) = {
      get: "/v1beta1/{parent=projects/*/locations/*/models/*/evaluations/*}/slices"
    };
    option (google.api.method_signature) = "parent";
  }
}

// Request message for [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel].
message UploadModelRequest {
  // Required. The resource name of the Location into which to upload the Model.
  // Format: `projects/{project}/locations/{location}`
  string parent = 1 [
    (google.api.field_behavior) = REQUIRED,
    (google.api.resource_reference) = {
      type: "locations.googleapis.com/Location"
    }
  ];

  // Required. The Model to create.
  Model model = 2 [(google.api.field_behavior) = REQUIRED];
}

// Details of [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel] operation.
message UploadModelOperationMetadata {
  // The common part of the operation metadata.
  GenericOperationMetadata generic_metadata = 1;
}

// Response message of [ModelService.UploadModel][google.cloud.aiplatform.v1beta1.ModelService.UploadModel] operation.
message UploadModelResponse {
  // The name of the uploaded Model resource.
  // Format: `projects/{project}/locations/{location}/models/{model}`
  string model = 1 [(google.api.resource_reference) = {
                      type: "aiplatform.googleapis.com/Model"
                    }];
}

// Request message for [ModelService.GetModel][google.cloud.aiplatform.v1beta1.ModelService.GetModel].
message GetModelRequest {
  // Required. The name of the Model resource.
  // Format: `projects/{project}/locations/{location}/models/{model}`
  string name = 1 [
    (google.api.field_behavior) = REQUIRED,
    (google.api.resource_reference) = {
      type: "aiplatform.googleapis.com/Model"
    }
  ];
}

// Request message for [ModelService.ListModels][google.cloud.aiplatform.v1beta1.ModelService.ListModels].
message ListModelsRequest {
  // Required. The resource name of the Location to list the Models from.
  // Format: `projects/{project}/locations/{location}`
  string parent = 1 [
    (google.api.field_behavior) = REQUIRED,
    (google.api.resource_reference) = {
      type: "locations.googleapis.com/Location"
    }
  ];

  // An expression for filtering the results of the request. For field names
  // both snake_case and camelCase are supported.
  //
  //   * `model` supports = and !=. `model` represents the Model ID,
  //     i.e. the last segment of the Model's [resource name][google.cloud.aiplatform.v1beta1.Model.name].
  //   * `display_name` supports = and !=
  //   * `labels` supports general map functions that is:
  //     * `labels.key=value` - key:value equality
  //     * `labels.key:* or labels:key - key existence
  //     * A key including a space must be quoted. `labels."a key"`.
  //
  // Some examples:
  //   * `model=1234`
  //   * `displayName="myDisplayName"`
  //   * `labels.myKey="myValue"`
  string filter = 2;

  // The standard list page size.
  int32 page_size = 3;

  // The standard list page token.
  // Typically obtained via
  // [ListModelsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListModelsResponse.next_page_token] of the previous
  // [ModelService.ListModels][google.cloud.aiplatform.v1beta1.ModelService.ListModels] call.
  string page_token = 4;

  // Mask specifying which fields to read.
  google.protobuf.FieldMask read_mask = 5;
}

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

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

// Request message for [ModelService.UpdateModel][google.cloud.aiplatform.v1beta1.ModelService.UpdateModel].
message UpdateModelRequest {
  // Required. The Model which replaces the resource on the server.
  Model model = 1 [(google.api.field_behavior) = REQUIRED];

  // Required. The update mask applies to the resource.
  // For the `FieldMask` definition, see
  // [FieldMask](https://tinyurl.com/protobufs/google.protobuf#fieldmask).
  google.protobuf.FieldMask update_mask = 2 [(google.api.field_behavior) = REQUIRED];
}

// Request message for [ModelService.DeleteModel][google.cloud.aiplatform.v1beta1.ModelService.DeleteModel].
message DeleteModelRequest {
  // Required. The name of the Model resource to be deleted.
  // Format: `projects/{project}/locations/{location}/models/{model}`
  string name = 1 [
    (google.api.field_behavior) = REQUIRED,
    (google.api.resource_reference) = {
      type: "aiplatform.googleapis.com/Model"
    }
  ];
}

// Request message for [ModelService.ExportModel][google.cloud.aiplatform.v1beta1.ModelService.ExportModel].
message ExportModelRequest {
  // Output configuration for the Model export.
  message OutputConfig {
    // The ID of the format in which the Model must be exported. Each Model
    // lists the [export formats it supports][google.cloud.aiplatform.v1beta1.Model.supported_export_formats].
    // If no value is provided here, then the first from the list of the Model's
    // supported formats is used by default.
    string export_format_id = 1;

    // The Cloud Storage location where the Model artifact is to be
    // written to. Under the directory given as the destination a new one with
    // name "`model-export-<model-display-name>-<timestamp-of-export-call>`",
    // where timestamp is in YYYY-MM-DDThh:mm:ss.sssZ ISO-8601 format,
    // will be created. Inside, the Model and any of its supporting files
    // will be written.
    // This field should only be set when the `exportableContent` field of the
    // [Model.supported_export_formats] object contains `ARTIFACT`.
    GcsDestination artifact_destination = 3;

    // The Google Container Registry or Artifact Registry uri where the
    // Model container image will be copied to.
    // This field should only be set when the `exportableContent` field of the
    // [Model.supported_export_formats] object contains `IMAGE`.
    ContainerRegistryDestination image_destination = 4;
  }

  // Required. The resource name of the Model to export.
  // Format: `projects/{project}/locations/{location}/models/{model}`
  string name = 1 [
    (google.api.field_behavior) = REQUIRED,
    (google.api.resource_reference) = {
      type: "aiplatform.googleapis.com/Model"
    }
  ];

  // Required. The desired output location and configuration.
  OutputConfig output_config = 2 [(google.api.field_behavior) = REQUIRED];
}

// Details of [ModelService.ExportModel][google.cloud.aiplatform.v1beta1.ModelService.ExportModel] operation.
message ExportModelOperationMetadata {
  // Further describes the output of the ExportModel. Supplements
  // [ExportModelRequest.OutputConfig][google.cloud.aiplatform.v1beta1.ExportModelRequest.OutputConfig].
  message OutputInfo {
    // Output only. If the Model artifact is being exported to Google Cloud Storage this is
    // the full path of the directory created, into which the Model files are
    // being written to.
    string artifact_output_uri = 2 [(google.api.field_behavior) = OUTPUT_ONLY];

    // Output only. If the Model image is being exported to Google Container Registry or
    // Artifact Registry this is the full path of the image created.
    string image_output_uri = 3 [(google.api.field_behavior) = OUTPUT_ONLY];
  }

  // The common part of the operation metadata.
  GenericOperationMetadata generic_metadata = 1;

  // Output only. Information further describing the output of this Model export.
  OutputInfo output_info = 2 [(google.api.field_behavior) = OUTPUT_ONLY];
}

// Response message of [ModelService.ExportModel][google.cloud.aiplatform.v1beta1.ModelService.ExportModel] operation.
message ExportModelResponse {

}

// Request message for [ModelService.GetModelEvaluation][google.cloud.aiplatform.v1beta1.ModelService.GetModelEvaluation].
message GetModelEvaluationRequest {
  // Required. The name of the ModelEvaluation resource.
  // Format:
  //
  // `projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}`
  string name = 1 [
    (google.api.field_behavior) = REQUIRED,
    (google.api.resource_reference) = {
      type: "aiplatform.googleapis.com/ModelEvaluation"
    }
  ];
}

// Request message for [ModelService.ListModelEvaluations][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluations].
message ListModelEvaluationsRequest {
  // Required. The resource name of the Model to list the ModelEvaluations from.
  // Format: `projects/{project}/locations/{location}/models/{model}`
  string parent = 1 [
    (google.api.field_behavior) = REQUIRED,
    (google.api.resource_reference) = {
      type: "aiplatform.googleapis.com/Model"
    }
  ];

  // The standard list filter.
  string filter = 2;

  // The standard list page size.
  int32 page_size = 3;

  // The standard list page token.
  // Typically obtained via
  // [ListModelEvaluationsResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListModelEvaluationsResponse.next_page_token] of the previous
  // [ModelService.ListModelEvaluations][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluations] call.
  string page_token = 4;

  // Mask specifying which fields to read.
  google.protobuf.FieldMask read_mask = 5;
}

// Response message for [ModelService.ListModelEvaluations][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluations].
message ListModelEvaluationsResponse {
  // List of ModelEvaluations in the requested page.
  repeated ModelEvaluation model_evaluations = 1;

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

// Request message for [ModelService.GetModelEvaluationSlice][google.cloud.aiplatform.v1beta1.ModelService.GetModelEvaluationSlice].
message GetModelEvaluationSliceRequest {
  // Required. The name of the ModelEvaluationSlice resource.
  // Format:
  //
  // `projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}/slices/{slice}`
  string name = 1 [
    (google.api.field_behavior) = REQUIRED,
    (google.api.resource_reference) = {
      type: "aiplatform.googleapis.com/ModelEvaluationSlice"
    }
  ];
}

// Request message for [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluationSlices].
message ListModelEvaluationSlicesRequest {
  // Required. The resource name of the ModelEvaluation to list the ModelEvaluationSlices
  // from. Format:
  //
  // `projects/{project}/locations/{location}/models/{model}/evaluations/{evaluation}`
  string parent = 1 [
    (google.api.field_behavior) = REQUIRED,
    (google.api.resource_reference) = {
      type: "aiplatform.googleapis.com/ModelEvaluation"
    }
  ];

  // The standard list filter.
  //
  //   * `slice.dimension` - for =.
  string filter = 2;

  // The standard list page size.
  int32 page_size = 3;

  // The standard list page token.
  // Typically obtained via
  // [ListModelEvaluationSlicesResponse.next_page_token][google.cloud.aiplatform.v1beta1.ListModelEvaluationSlicesResponse.next_page_token] of the previous
  // [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluationSlices] call.
  string page_token = 4;

  // Mask specifying which fields to read.
  google.protobuf.FieldMask read_mask = 5;
}

// Response message for [ModelService.ListModelEvaluationSlices][google.cloud.aiplatform.v1beta1.ModelService.ListModelEvaluationSlices].
message ListModelEvaluationSlicesResponse {
  // List of ModelEvaluations in the requested page.
  repeated ModelEvaluationSlice model_evaluation_slices = 1;

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