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prediction_service.proto
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prediction_service.proto
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// 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.v2;
import "google/api/annotations.proto";
import "google/api/client.proto";
import "google/api/field_behavior.proto";
import "google/api/resource.proto";
import "google/cloud/retail/v2/user_event.proto";
import "google/protobuf/struct.proto";
option csharp_namespace = "Google.Cloud.Retail.V2";
option go_package = "cloud.google.com/go/retail/apiv2/retailpb;retailpb";
option java_multiple_files = true;
option java_outer_classname = "PredictionServiceProto";
option java_package = "com.google.cloud.retail.v2";
option objc_class_prefix = "RETAIL";
option php_namespace = "Google\\Cloud\\Retail\\V2";
option ruby_package = "Google::Cloud::Retail::V2";
// Service for making recommendation prediction.
service PredictionService {
option (google.api.default_host) = "retail.googleapis.com";
option (google.api.oauth_scopes) =
"https://www.googleapis.com/auth/cloud-platform";
// Makes a recommendation prediction.
rpc Predict(PredictRequest) returns (PredictResponse) {
option (google.api.http) = {
post: "/v2/{placement=projects/*/locations/*/catalogs/*/placements/*}:predict"
body: "*"
additional_bindings {
post: "/v2/{placement=projects/*/locations/*/catalogs/*/servingConfigs/*}:predict"
body: "*"
}
};
}
}
// Request message for Predict method.
message PredictRequest {
// Required. Full resource name of the format:
// `{placement=projects/*/locations/global/catalogs/default_catalog/servingConfigs/*}`
// or
// `{placement=projects/*/locations/global/catalogs/default_catalog/placements/*}`.
// We recommend using the `servingConfigs` resource. `placements` is a legacy
// resource.
// The ID of the Recommendations AI serving config or placement.
// Before you can request predictions from your model, you must create at
// least one serving config or placement for it. For more information, see
// [Manage serving configs]
// (https://cloud.google.com/retail/docs/manage-configs).
//
// The full list of available serving configs can be seen at
// https://console.cloud.google.com/ai/retail/catalogs/default_catalog/configs
string placement = 1 [(google.api.field_behavior) = REQUIRED];
// Required. Context about the user, what they are looking at and what action
// they took to trigger the predict request. Note that this user event detail
// won't be ingested to userEvent logs. Thus, a separate userEvent write
// request is required for event logging.
//
// Don't set
// [UserEvent.visitor_id][google.cloud.retail.v2.UserEvent.visitor_id] or
// [UserInfo.user_id][google.cloud.retail.v2.UserInfo.user_id] to the same
// fixed ID for different users. If you are trying to receive non-personalized
// recommendations (not recommended; this can negatively impact model
// performance), instead set
// [UserEvent.visitor_id][google.cloud.retail.v2.UserEvent.visitor_id] to a
// random unique ID and leave
// [UserInfo.user_id][google.cloud.retail.v2.UserInfo.user_id] unset.
UserEvent user_event = 2 [(google.api.field_behavior) = REQUIRED];
// Maximum number of results to return. Set this property to the number of
// prediction results needed. If zero, the service will choose a reasonable
// default. The maximum allowed value is 100. Values above 100 will be coerced
// to 100.
int32 page_size = 3;
// This field is not used; leave it unset.
string page_token = 4 [deprecated = true];
// Filter for restricting prediction results with a length limit of 5,000
// characters. Accepts values for tags and the `filterOutOfStockItems` flag.
//
// * Tag expressions. Restricts predictions to products that match all of the
// specified tags. Boolean operators `OR` and `NOT` are supported if the
// expression is enclosed in parentheses, and must be separated from the
// tag values by a space. `-"tagA"` is also supported and is equivalent to
// `NOT "tagA"`. Tag values must be double quoted UTF-8 encoded strings
// with a size limit of 1,000 characters.
//
// Note: "Recently viewed" models don't support tag filtering at the
// moment.
//
// * filterOutOfStockItems. Restricts predictions to products that do not
// have a
// stockState value of OUT_OF_STOCK.
//
// Examples:
//
// * tag=("Red" OR "Blue") tag="New-Arrival" tag=(NOT "promotional")
// * filterOutOfStockItems tag=(-"promotional")
// * filterOutOfStockItems
//
// If your filter blocks all prediction results, the API will return *no*
// results. If instead you want empty result sets to return generic
// (unfiltered) popular products, set `strictFiltering` to False in
// `PredictRequest.params`. Note that the API will never return items with
// storageStatus of "EXPIRED" or "DELETED" regardless of filter choices.
//
// If `filterSyntaxV2` is set to true under the `params` field, then
// attribute-based expressions are expected instead of the above described
// tag-based syntax. Examples:
//
// * (colors: ANY("Red", "Blue")) AND NOT (categories: ANY("Phones"))
// * (availability: ANY("IN_STOCK")) AND
// (colors: ANY("Red") OR categories: ANY("Phones"))
//
// For more information, see
// [Filter recommendations](https://cloud.google.com/retail/docs/filter-recs).
string filter = 5;
// Use validate only mode for this prediction query. If set to true, a
// dummy model will be used that returns arbitrary products.
// Note that the validate only mode should only be used for testing the API,
// or if the model is not ready.
bool validate_only = 6;
// Additional domain specific parameters for the predictions.
//
// Allowed values:
//
// * `returnProduct`: Boolean. If set to true, the associated product
// object will be returned in the `results.metadata` field in the
// prediction response.
// * `returnScore`: Boolean. If set to true, the prediction 'score'
// corresponding to each returned product will be set in the
// `results.metadata` field in the prediction response. The given
// 'score' indicates the probability of a product being clicked/purchased
// given the user's context and history.
// * `strictFiltering`: Boolean. True by default. If set to false, the service
// will return generic (unfiltered) popular products instead of empty if
// your filter blocks all prediction results.
// * `priceRerankLevel`: String. Default empty. If set to be non-empty, then
// it needs to be one of {'no-price-reranking', 'low-price-reranking',
// 'medium-price-reranking', 'high-price-reranking'}. This gives
// request-level control and adjusts prediction results based on product
// price.
// * `diversityLevel`: String. Default empty. If set to be non-empty, then
// it needs to be one of {'no-diversity', 'low-diversity',
// 'medium-diversity', 'high-diversity', 'auto-diversity'}. This gives
// request-level control and adjusts prediction results based on product
// category.
// * `filterSyntaxV2`: Boolean. False by default. If set to true, the `filter`
// field is interpreteted according to the new, attribute-based syntax.
map<string, google.protobuf.Value> params = 7;
// The labels applied to a resource must meet the following requirements:
//
// * Each resource can have multiple labels, up to a maximum of 64.
// * Each label must be a key-value pair.
// * Keys have a minimum length of 1 character and a maximum length of 63
// characters and cannot be empty. Values can be empty and have a maximum
// length of 63 characters.
// * Keys and values can contain only lowercase letters, numeric characters,
// underscores, and dashes. All characters must use UTF-8 encoding, and
// international characters are allowed.
// * The key portion of a label must be unique. However, you can use the same
// key with multiple resources.
// * Keys must start with a lowercase letter or international character.
//
// See [Google Cloud
// Document](https://cloud.google.com/resource-manager/docs/creating-managing-labels#requirements)
// for more details.
map<string, string> labels = 8;
}
// Response message for predict method.
message PredictResponse {
// PredictionResult represents the recommendation prediction results.
message PredictionResult {
// ID of the recommended product
string id = 1;
// Additional product metadata / annotations.
//
// Possible values:
//
// * `product`: JSON representation of the product. Is set if
// `returnProduct` is set to true in `PredictRequest.params`.
// * `score`: Prediction score in double value. Is set if
// `returnScore` is set to true in `PredictRequest.params`.
map<string, google.protobuf.Value> metadata = 2;
}
// A list of recommended products. The order represents the ranking (from the
// most relevant product to the least).
repeated PredictionResult results = 1;
// A unique attribution token. This should be included in the
// [UserEvent][google.cloud.retail.v2.UserEvent] logs resulting from this
// recommendation, which enables accurate attribution of recommendation model
// performance.
string attribution_token = 2;
// IDs of products in the request that were missing from the inventory.
repeated string missing_ids = 3;
// True if the validateOnly property was set in the request.
bool validate_only = 4;
}