// Copyright 2017 Google Inc.
//
// 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.ml.v1;

import "google/api/annotations.proto";
import "google/api/auth.proto";
import "google/longrunning/operations.proto";
import "google/protobuf/timestamp.proto";

option go_package = "google.golang.org/genproto/googleapis/cloud/ml/v1;ml";
option java_multiple_files = true;
option java_outer_classname = "ModelServiceProto";
option java_package = "com.google.cloud.ml.api.v1";

// Copyright 2017 Google Inc. All Rights Reserved.
//
// Proto file for the Google Cloud Machine Learning Engine.
// Describes the 'models service' to work with the 'model' and 'version'
// resources.


// Provides methods that create and manage machine learning models and their
// versions.
//
// A model in this context is a container for versions. The model can't provide
// predictions without first having a version created for it.
//
// Each version is a trained machine learning model, and each is assumed to be
// an iteration of the same machine learning problem as the other versions of
// the same model.
//
// Your project can define multiple models, each with multiple versions.
//
// The basic life cycle of a model is:
//
// *   Create and train the machine learning model and save it to a
//     Google Cloud Storage location.
// *   Use
//     [projects.models.create](/ml/reference/rest/v1/projects.models/create)
//     to make a new model in your project.
// *   Use
//     [projects.models.versions.create](/ml/reference/rest/v1/projects.models.versions/create)
//     to deploy your saved model.
// *   Use [projects.predict](/ml/reference/rest/v1/projects/predict to
//     request predictions of a version of your model, or use
//     [projects.jobs.create](/ml/reference/rest/v1/projects.jobs/create)
//     to start a batch prediction job.
service ModelService {
  // Creates a model which will later contain one or more versions.
  //
  // You must add at least one version before you can request predictions from
  // the model. Add versions by calling
  // [projects.models.versions.create](/ml/reference/rest/v1/projects.models.versions/create).
  rpc CreateModel(CreateModelRequest) returns (Model) {
    option (google.api.http) = { post: "/v1/{parent=projects/*}/models" body: "model" };
  }

  // Lists the models in a project.
  //
  // Each project can contain multiple models, and each model can have multiple
  // versions.
  rpc ListModels(ListModelsRequest) returns (ListModelsResponse) {
    option (google.api.http) = { get: "/v1/{parent=projects/*}/models" };
  }

  // Gets information about a model, including its name, the description (if
  // set), and the default version (if at least one version of the model has
  // been deployed).
  rpc GetModel(GetModelRequest) returns (Model) {
    option (google.api.http) = { get: "/v1/{name=projects/*/models/*}" };
  }

  // Deletes a model.
  //
  // You can only delete a model if there are no versions in it. You can delete
  // versions by calling
  // [projects.models.versions.delete](/ml/reference/rest/v1/projects.models.versions/delete).
  rpc DeleteModel(DeleteModelRequest) returns (google.longrunning.Operation) {
    option (google.api.http) = { delete: "/v1/{name=projects/*/models/*}" };
  }

  // Creates a new version of a model from a trained TensorFlow model.
  //
  // If the version created in the cloud by this call is the first deployed
  // version of the specified model, it will be made the default version of the
  // model. When you add a version to a model that already has one or more
  // versions, the default version does not automatically change. If you want a
  // new version to be the default, you must call
  // [projects.models.versions.setDefault](/ml/reference/rest/v1/projects.models.versions/setDefault).
  rpc CreateVersion(CreateVersionRequest) returns (google.longrunning.Operation) {
    option (google.api.http) = { post: "/v1/{parent=projects/*/models/*}/versions" body: "version" };
  }

  // Gets basic information about all the versions of a model.
  //
  // If you expect that a model has a lot of versions, or if you need to handle
  // only a limited number of results at a time, you can request that the list
  // be retrieved in batches (called pages):
  rpc ListVersions(ListVersionsRequest) returns (ListVersionsResponse) {
    option (google.api.http) = { get: "/v1/{parent=projects/*/models/*}/versions" };
  }

  // Gets information about a model version.
  //
  // Models can have multiple versions. You can call
  // [projects.models.versions.list](/ml/reference/rest/v1/projects.models.versions/list)
  // to get the same information that this method returns for all of the
  // versions of a model.
  rpc GetVersion(GetVersionRequest) returns (Version) {
    option (google.api.http) = { get: "/v1/{name=projects/*/models/*/versions/*}" };
  }

  // Deletes a model version.
  //
  // Each model can have multiple versions deployed and in use at any given
  // time. Use this method to remove a single version.
  //
  // Note: You cannot delete the version that is set as the default version
  // of the model unless it is the only remaining version.
  rpc DeleteVersion(DeleteVersionRequest) returns (google.longrunning.Operation) {
    option (google.api.http) = { delete: "/v1/{name=projects/*/models/*/versions/*}" };
  }

  // Designates a version to be the default for the model.
  //
  // The default version is used for prediction requests made against the model
  // that don't specify a version.
  //
  // The first version to be created for a model is automatically set as the
  // default. You must make any subsequent changes to the default version
  // setting manually using this method.
  rpc SetDefaultVersion(SetDefaultVersionRequest) returns (Version) {
    option (google.api.http) = { post: "/v1/{name=projects/*/models/*/versions/*}:setDefault" body: "*" };
  }
}

// Represents a machine learning solution.
//
// A model can have multiple versions, each of which is a deployed, trained
// model ready to receive prediction requests. The model itself is just a
// container.
message Model {
  // Required. The name specified for the model when it was created.
  //
  // The model name must be unique within the project it is created in.
  string name = 1;

  // Optional. The description specified for the model when it was created.
  string description = 2;

  // Output only. The default version of the model. This version will be used to
  // handle prediction requests that do not specify a version.
  //
  // You can change the default version by calling
  // [projects.methods.versions.setDefault](/ml/reference/rest/v1/projects.models.versions/setDefault).
  Version default_version = 3;

  // Optional. The list of regions where the model is going to be deployed.
  // Currently only one region per model is supported.
  // Defaults to 'us-central1' if nothing is set.
  repeated string regions = 4;

  // Optional. If true, enables StackDriver Logging for online prediction.
  // Default is false.
  bool online_prediction_logging = 5;
}

// Represents a version of the model.
//
// Each version is a trained model deployed in the cloud, ready to handle
// prediction requests. A model can have multiple versions. You can get
// information about all of the versions of a given model by calling
// [projects.models.versions.list](/ml/reference/rest/v1/projects.models.versions/list).
message Version {
  // Required.The name specified for the version when it was created.
  //
  // The version name must be unique within the model it is created in.
  string name = 1;

  // Optional. The description specified for the version when it was created.
  string description = 2;

  // Output only. If true, this version will be used to handle prediction
  // requests that do not specify a version.
  //
  // You can change the default version by calling
  // [projects.methods.versions.setDefault](/ml/reference/rest/v1/projects.models.versions/setDefault).
  bool is_default = 3;

  // Required. The Google Cloud Storage location of the trained model used to
  // create the version. See the
  // [overview of model deployment](/ml/docs/concepts/deployment-overview) for
  // more informaiton.
  //
  // When passing Version to
  // [projects.models.versions.create](/ml/reference/rest/v1/projects.models.versions/create)
  // the model service uses the specified location as the source of the model.
  // Once deployed, the model version is hosted by the prediction service, so
  // this location is useful only as a historical record.
  string deployment_uri = 4;

  // Output only. The time the version was created.
  google.protobuf.Timestamp create_time = 5;

  // Output only. The time the version was last used for prediction.
  google.protobuf.Timestamp last_use_time = 6;

  // Optional. The Google Cloud ML runtime version to use for this deployment.
  // If not set, Google Cloud ML will choose a version.
  string runtime_version = 8;

  // Optional. Manually select the number of nodes to use for serving the
  // model. If unset (i.e., by default), the number of nodes used to serve
  // the model automatically scales with traffic. However, care should be
  // taken to ramp up traffic according to the model's ability to scale. If
  // your model needs to handle bursts of traffic beyond it's ability to
  // scale, it is recommended you set this field appropriately.
  ManualScaling manual_scaling = 9;
}

// Options for manually scaling a model.
message ManualScaling {
  // The number of nodes to allocate for this model. These nodes are always up,
  // starting from the time the model is deployed, so the cost of operating
  // this model will be proportional to nodes * number of hours since
  // deployment.
  int32 nodes = 1;
}

// Request message for the CreateModel method.
message CreateModelRequest {
  // Required. The project name.
  //
  // Authorization: requires `Editor` role on the specified project.
  string parent = 1;

  // Required. The model to create.
  Model model = 2;
}

// Request message for the ListModels method.
message ListModelsRequest {
  // Required. The name of the project whose models are to be listed.
  //
  // Authorization: requires `Viewer` role on the specified project.
  string parent = 1;

  // Optional. A page token to request the next page of results.
  //
  // You get the token from the `next_page_token` field of the response from
  // the previous call.
  string page_token = 4;

  // Optional. The number of models to retrieve per "page" of results. If there
  // are more remaining results than this number, the response message will
  // contain a valid value in the `next_page_token` field.
  //
  // The default value is 20, and the maximum page size is 100.
  int32 page_size = 5;
}

// Response message for the ListModels method.
message ListModelsResponse {
  // The list of models.
  repeated Model models = 1;

  // Optional. Pass this token as the `page_token` field of the request for a
  // subsequent call.
  string next_page_token = 2;
}

// Request message for the GetModel method.
message GetModelRequest {
  // Required. The name of the model.
  //
  // Authorization: requires `Viewer` role on the parent project.
  string name = 1;
}

// Request message for the DeleteModel method.
message DeleteModelRequest {
  // Required. The name of the model.
  //
  // Authorization: requires `Editor` role on the parent project.
  string name = 1;
}

// Uploads the provided trained model version to Cloud Machine Learning.
message CreateVersionRequest {
  // Required. The name of the model.
  //
  // Authorization: requires `Editor` role on the parent project.
  string parent = 1;

  // Required. The version details.
  Version version = 2;
}

// Request message for the ListVersions method.
message ListVersionsRequest {
  // Required. The name of the model for which to list the version.
  //
  // Authorization: requires `Viewer` role on the parent project.
  string parent = 1;

  // Optional. A page token to request the next page of results.
  //
  // You get the token from the `next_page_token` field of the response from
  // the previous call.
  string page_token = 4;

  // Optional. The number of versions to retrieve per "page" of results. If
  // there are more remaining results than this number, the response message
  // will contain a valid value in the `next_page_token` field.
  //
  // The default value is 20, and the maximum page size is 100.
  int32 page_size = 5;
}

// Response message for the ListVersions method.
message ListVersionsResponse {
  // The list of versions.
  repeated Version versions = 1;

  // Optional. Pass this token as the `page_token` field of the request for a
  // subsequent call.
  string next_page_token = 2;
}

// Request message for the GetVersion method.
message GetVersionRequest {
  // Required. The name of the version.
  //
  // Authorization: requires `Viewer` role on the parent project.
  string name = 1;
}

// Request message for the DeleteVerionRequest method.
message DeleteVersionRequest {
  // Required. The name of the version. You can get the names of all the
  // versions of a model by calling
  // [projects.models.versions.list](/ml/reference/rest/v1/projects.models.versions/list).
  //
  // Authorization: requires `Editor` role on the parent project.
  string name = 1;
}

// Request message for the SetDefaultVersion request.
message SetDefaultVersionRequest {
  // Required. The name of the version to make the default for the model. You
  // can get the names of all the versions of a model by calling
  // [projects.models.versions.list](/ml/reference/rest/v1/projects.models.versions/list).
  //
  // Authorization: requires `Editor` role on the parent project.
  string name = 1;
}