// Copyright 2021 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.retail.v2alpha; import "google/api/field_behavior.proto"; import "google/api/resource.proto"; import "google/cloud/retail/v2alpha/common.proto"; import "google/protobuf/timestamp.proto"; option csharp_namespace = "Google.Cloud.Retail.V2Alpha"; option go_package = "cloud.google.com/go/retail/apiv2alpha/retailpb;retailpb"; option java_multiple_files = true; option java_outer_classname = "ModelProto"; option java_package = "com.google.cloud.retail.v2alpha"; option objc_class_prefix = "RETAIL"; option php_namespace = "Google\\Cloud\\Retail\\V2alpha"; option ruby_package = "Google::Cloud::Retail::V2alpha"; // Metadata that describes the training and serving parameters of a // [Model][google.cloud.retail.v2alpha.Model]. A // [Model][google.cloud.retail.v2alpha.Model] can be associated with a // [ServingConfig][google.cloud.retail.v2alpha.ServingConfig] and then queried // through the Predict API. message Model { option (google.api.resource) = { type: "retail.googleapis.com/Model" pattern: "projects/{project}/locations/{location}/catalogs/{catalog}/models/{model}" }; // The PageOptimizationConfig for model training. // // This determines how many panels to optimize for, and which serving // configs to consider for each panel. // The purpose of this model is to optimize which // [ServingConfig][google.cloud.retail.v2alpha.ServingConfig] to show on which // panels in way that optimizes the visitors shopping journey. message PageOptimizationConfig { // A candidate to consider for a given panel. Currently only // [ServingConfig][google.cloud.retail.v2alpha.ServingConfig] are valid // candidates. message Candidate { oneof candidate { // This has to be a valid // [ServingConfig][google.cloud.retail.v2alpha.ServingConfig] // identifier. For example, for a ServingConfig with full name: // `projects/*/locations/global/catalogs/default_catalog/servingConfigs/my_candidate_config`, // this would be `my_candidate_config`. string serving_config_id = 1; } } // An individual panel with a list of // [ServingConfigs][google.cloud.retail.v2alpha.ServingConfig] to consider // for it. message Panel { // Optional. The name to display for the panel. string display_name = 1 [(google.api.field_behavior) = OPTIONAL]; // Required. The candidates to consider on the panel. repeated Candidate candidates = 2 [(google.api.field_behavior) = REQUIRED]; // Required. The default candidate. If the model fails at serving time, // we fall back to the default. Candidate default_candidate = 3 [(google.api.field_behavior) = REQUIRED]; } // Restrictions of expected returned results. enum Restriction { // Unspecified value for restriction. RESTRICTION_UNSPECIFIED = 0; // Allow any [ServingConfig][google.cloud.retail.v2alpha.ServingConfig] to // be show on any number of panels. // // Example: // // `Panel1 candidates`: pdp_ctr, pdp_cvr, home_page_ctr_no_diversity // // `Panel2 candidates`: home_page_ctr_no_diversity, // home_page_ctr_diversity, // pdp_cvr_no_diversity // // `Restriction` = NO_RESTRICTION // // `Valid combinations`: // // * (pdp_ctr, home_page_ctr_no_diversity) // * (pdp_ctr, home_page_ctr_diversity) // * (pdp_ctr, pdp_cvr_no_diversity) // * (pdp_cvr, home_page_ctr_no_diversity) // * (pdp_cvr, home_page_ctr_diversity) // * (pdp_cvr, pdp_cvr_no_diversity) // * (home_page_ctr_no_diversity, home_page_ctr_no_diversity) // * (home_page_ctr_no_diversity, home_page_ctr_diversity) // * (home_page_ctr_no_diversity, pdp_cvr_no_diversity) // // `Invalid combinations`: [] NO_RESTRICTION = 1; // Do not allow the same // [ServingConfig.name][google.cloud.retail.v2alpha.ServingConfig.name] to // be shown on multiple panels. // // Example: // // `Panel1 candidates`: pdp_ctr, pdp_cvr, home_page_ctr_no_diversity // // // `Panel2 candidates`: home_page_ctr_no_diversity, // home_page_ctr_diversity_low, // pdp_cvr_no_diversity // // `Restriction` = `UNIQUE_SERVING_CONFIG_RESTRICTION` // // `Valid combinations`: // // * (pdp_ctr, home_page_ctr_no_diversity) // * (pdp_ctr, home_page_ctr_diversity_low) // * (pdp_ctr, pdp_cvr_no_diversity) // * (pdp_ctr, pdp_cvr_no_diversity) // * (pdp_cvr, home_page_ctr_no_diversity) // * (pdp_cvr, home_page_ctr_diversity_low) // * (pdp_cvr, pdp_cvr_no_diversity) // * (home_page_ctr_no_diversity, home_page_ctr_diversity_low) // * (home_page_ctr_no_diversity, pdp_cvr_no_diversity) // // `Invalid combinations`: // // * (home_page_ctr_no_diversity, home_page_ctr_no_diversity) UNIQUE_SERVING_CONFIG_RESTRICTION = 2; // Do not allow multiple // [ServingConfigs][google.cloud.retail.v2alpha.ServingConfig] with same // [Model.name][google.cloud.retail.v2alpha.Model.name] to be show on on // different panels. // // Example: // // `Panel1 candidates`: pdp_ctr, pdp_cvr, home_page_ctr_no_diversity // // // `Panel2 candidates`: home_page_ctr_no_diversity, // home_page_ctr_diversity_low, // pdp_cvr_no_diversity // // `Restriction` = `UNIQUE_MODEL_RESTRICTION` // // `Valid combinations`: // // * (pdp_ctr, home_page_ctr_no_diversity) // * (pdp_ctr, home_page_ctr_diversity) // * (pdp_ctr, pdp_cvr_no_diversity) // * (pdp_ctr, pdp_cvr_no_diversity) // * (pdp_cvr, home_page_ctr_no_diversity) // * (pdp_cvr, home_page_ctr_diversity_low) // * (home_page_ctr_no_diversity, pdp_cvr_no_diversity) // // `Invalid combinations`: // // * (home_page_ctr_no_diversity, home_page_ctr_no_diversity) // * (pdp_cvr, pdp_cvr_no_diversity) UNIQUE_MODEL_RESTRICTION = 3; // Do not allow multiple // [ServingConfigs][google.cloud.retail.v2alpha.ServingConfig] with same // [Model.type][google.cloud.retail.v2alpha.Model.type] to be shown on // different panels. // // Example: // // `Panel1 candidates`: pdp_ctr, pdp_cvr, home_page_ctr_no_diversity // // // `Panel2 candidates`: home_page_ctr_no_diversity, // home_page_ctr_diversity_low, // pdp_cvr_no_diversity // // `Restriction` = `UNIQUE_MODEL_RESTRICTION` // // `Valid combinations`: // // * (pdp_ctr, home_page_ctr_no_diversity) // * (pdp_ctr, home_page_ctr_diversity) // * (pdp_cvr, home_page_ctr_no_diversity) // * (pdp_cvr, home_page_ctr_diversity_low) // * (home_page_ctr_no_diversity, pdp_cvr_no_diversity) // // `Invalid combinations`: // // * (pdp_ctr, pdp_cvr_no_diversity) // * (pdp_ctr, pdp_cvr_no_diversity) // * (pdp_cvr, pdp_cvr_no_diversity) // * (home_page_ctr_no_diversity, home_page_ctr_no_diversity) // * (home_page_ctr_no_diversity, home_page_ctr_diversity) UNIQUE_MODEL_TYPE_RESTRICTION = 4; } // Required. The type of [UserEvent][google.cloud.retail.v2alpha.UserEvent] // this page optimization is shown for. // // Each page has an associated event type - this will be the // corresponding event type for the page that the page optimization // model is used on. // // Supported types: // // * `add-to-cart`: Products being added to cart. // * `detail-page-view`: Products detail page viewed. // * `home-page-view`: Homepage viewed // * `category-page-view`: Homepage viewed // * `shopping-cart-page-view`: User viewing a shopping cart. // // `home-page-view` only allows models with type `recommended-for-you`. // All other page_optimization_event_type allow all // [Model.types][google.cloud.retail.v2alpha.Model.type]. string page_optimization_event_type = 1 [(google.api.field_behavior) = REQUIRED]; // Required. A list of panel configurations. // // Limit = 5. repeated Panel panels = 2 [(google.api.field_behavior) = REQUIRED]; // Optional. How to restrict results across panels e.g. can the same // [ServingConfig][google.cloud.retail.v2alpha.ServingConfig] be shown on // multiple panels at once. // // If unspecified, default to `UNIQUE_MODEL_RESTRICTION`. Restriction restriction = 3 [(google.api.field_behavior) = OPTIONAL]; } // Represents an ordered combination of valid serving configs, which // can be used for `PAGE_OPTIMIZATION` recommendations. message ServingConfigList { // Optional. A set of valid serving configs that may be used for // `PAGE_OPTIMIZATION`. repeated string serving_config_ids = 1 [(google.api.field_behavior) = OPTIONAL]; } // The serving state of the model. enum ServingState { // Unspecified serving state. SERVING_STATE_UNSPECIFIED = 0; // The model is not serving. INACTIVE = 1; // The model is serving and can be queried. ACTIVE = 2; // The model is trained on tuned hyperparameters and can be // queried. TUNED = 3; } // The training state of the model. enum TrainingState { // Unspecified training state. TRAINING_STATE_UNSPECIFIED = 0; // The model training is paused. PAUSED = 1; // The model is training. TRAINING = 2; } // Describes whether periodic tuning is enabled for this model // or not. Periodic tuning is scheduled at most every three months. You can // start a tuning process manually by using the `TuneModel` // method, which starts a tuning process immediately and resets the quarterly // schedule. Enabling or disabling periodic tuning does not affect any // current tuning processes. enum PeriodicTuningState { // Unspecified default value, should never be explicitly set. PERIODIC_TUNING_STATE_UNSPECIFIED = 0; // The model has periodic tuning disabled. Tuning // can be reenabled by calling the `EnableModelPeriodicTuning` // method or by calling the `TuneModel` method. PERIODIC_TUNING_DISABLED = 1; // The model cannot be tuned with periodic tuning OR the // `TuneModel` method. Hide the options in customer UI and // reject any requests through the backend self serve API. ALL_TUNING_DISABLED = 3; // The model has periodic tuning enabled. Tuning // can be disabled by calling the `DisableModelPeriodicTuning` // method. PERIODIC_TUNING_ENABLED = 2; } // Describes whether this model have sufficient training data // to be continuously trained. enum DataState { // Unspecified default value, should never be explicitly set. DATA_STATE_UNSPECIFIED = 0; // The model has sufficient training data. DATA_OK = 1; // The model does not have sufficient training data. Error // messages can be queried via Stackdriver. DATA_ERROR = 2; } // Training configuration specific to a // [Model.type][google.cloud.retail.v2alpha.Model.type] - currently, only for // page optimization. oneof training_config { // Optional. The page optimization config. PageOptimizationConfig page_optimization_config = 17 [(google.api.field_behavior) = OPTIONAL]; } // Required. The fully qualified resource name of the model. // // Format: // `projects/{project_number}/locations/{location_id}/catalogs/{catalog_id}/models/{model_id}` // catalog_id has char limit of 50. // recommendation_model_id has char limit of 40. string name = 1 [(google.api.field_behavior) = REQUIRED]; // Required. The display name of the model. // // Should be human readable, used to display Recommendation Models in the // Retail Cloud Console Dashboard. UTF-8 encoded string with limit of 1024 // characters. string display_name = 2 [(google.api.field_behavior) = REQUIRED]; // Optional. The training state that the model is in (e.g. // `TRAINING` or `PAUSED`). // // Since part of the cost of running the service // is frequency of training - this can be used to determine when to train // model in order to control cost. If not specified: the default value for // `CreateModel` method is `TRAINING`. The default value for // `UpdateModel` method is to keep the state the same as before. TrainingState training_state = 3 [(google.api.field_behavior) = OPTIONAL]; // Output only. The serving state of the model: `ACTIVE`, `NOT_ACTIVE`. ServingState serving_state = 4 [(google.api.field_behavior) = OUTPUT_ONLY]; // Output only. Timestamp the Recommendation Model was created at. google.protobuf.Timestamp create_time = 5 [(google.api.field_behavior) = OUTPUT_ONLY]; // Output only. Timestamp the Recommendation Model was last updated. E.g. // if a Recommendation Model was paused - this would be the time the pause was // initiated. google.protobuf.Timestamp update_time = 6 [(google.api.field_behavior) = OUTPUT_ONLY]; // Required. The type of model e.g. `home-page`. // // Currently supported values: `recommended-for-you`, `others-you-may-like`, // `frequently-bought-together`, `page-optimization`, `similar-items`, // `buy-it-again`, `on-sale-items`, and `recently-viewed`(readonly value). // // // This field together with // [optimization_objective][google.cloud.retail.v2alpha.Model.optimization_objective] // describe model metadata to use to control model training and serving. // See https://cloud.google.com/retail/docs/models // for more details on what the model metadata control and which combination // of parameters are valid. For invalid combinations of parameters (e.g. type // = `frequently-bought-together` and optimization_objective = `ctr`), you // receive an error 400 if you try to create/update a recommendation with // this set of knobs. string type = 7 [(google.api.field_behavior) = REQUIRED]; // Optional. The optimization objective e.g. `cvr`. // // Currently supported // values: `ctr`, `cvr`, `revenue-per-order`. // // If not specified, we choose default based on model type. // Default depends on type of recommendation: // // `recommended-for-you` => `ctr` // // `others-you-may-like` => `ctr` // // `frequently-bought-together` => `revenue_per_order` // // This field together with // [optimization_objective][google.cloud.retail.v2alpha.Model.type] // describe model metadata to use to control model training and serving. // See https://cloud.google.com/retail/docs/models // for more details on what the model metadata control and which combination // of parameters are valid. For invalid combinations of parameters (e.g. type // = `frequently-bought-together` and optimization_objective = `ctr`), you // receive an error 400 if you try to create/update a recommendation with // this set of knobs. string optimization_objective = 8 [(google.api.field_behavior) = OPTIONAL]; // Optional. The state of periodic tuning. // // The period we use is 3 months - to do a // one-off tune earlier use the `TuneModel` method. Default value // is `PERIODIC_TUNING_ENABLED`. PeriodicTuningState periodic_tuning_state = 11 [(google.api.field_behavior) = OPTIONAL]; // Output only. The timestamp when the latest successful tune finished. google.protobuf.Timestamp last_tune_time = 12 [(google.api.field_behavior) = OUTPUT_ONLY]; // Output only. The tune operation associated with the model. // // Can be used to determine if there is an ongoing tune for this // recommendation. Empty field implies no tune is goig on. string tuning_operation = 15 [(google.api.field_behavior) = OUTPUT_ONLY]; // Output only. The state of data requirements for this model: `DATA_OK` and // `DATA_ERROR`. // // Recommendation model cannot be trained if the data is in // `DATA_ERROR` state. Recommendation model can have `DATA_ERROR` state even // if serving state is `ACTIVE`: models were trained successfully before, but // cannot be refreshed because model no longer has sufficient // data for training. DataState data_state = 16 [(google.api.field_behavior) = OUTPUT_ONLY]; // Optional. If `RECOMMENDATIONS_FILTERING_ENABLED`, recommendation filtering // by attributes is enabled for the model. RecommendationsFilteringOption filtering_option = 18 [(google.api.field_behavior) = OPTIONAL]; // Output only. The list of valid serving configs associated with the // PageOptimizationConfig. repeated ServingConfigList serving_config_lists = 19 [(google.api.field_behavior) = OUTPUT_ONLY]; }