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/*
* Copyright 2024 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
*
* https://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.
*/
// Generated by the protocol buffer compiler. DO NOT EDIT!
// source: google/cloud/retail/v2alpha/prediction_service.proto
// Protobuf Java Version: 3.25.5
package com.google.cloud.retail.v2alpha;
/**
*
*
*
* Request message for Predict method.
*
*
* Protobuf type {@code google.cloud.retail.v2alpha.PredictRequest}
*/
public final class PredictRequest extends com.google.protobuf.GeneratedMessageV3
implements
// @@protoc_insertion_point(message_implements:google.cloud.retail.v2alpha.PredictRequest)
PredictRequestOrBuilder {
private static final long serialVersionUID = 0L;
// Use PredictRequest.newBuilder() to construct.
private PredictRequest(com.google.protobuf.GeneratedMessageV3.Builder builder) {
super(builder);
}
private PredictRequest() {
placement_ = "";
pageToken_ = "";
filter_ = "";
}
@java.lang.Override
@SuppressWarnings({"unused"})
protected java.lang.Object newInstance(UnusedPrivateParameter unused) {
return new PredictRequest();
}
public static final com.google.protobuf.Descriptors.Descriptor getDescriptor() {
return com.google.cloud.retail.v2alpha.PredictionServiceProto
.internal_static_google_cloud_retail_v2alpha_PredictRequest_descriptor;
}
@SuppressWarnings({"rawtypes"})
@java.lang.Override
protected com.google.protobuf.MapFieldReflectionAccessor internalGetMapFieldReflection(
int number) {
switch (number) {
case 7:
return internalGetParams();
case 8:
return internalGetLabels();
default:
throw new RuntimeException("Invalid map field number: " + number);
}
}
@java.lang.Override
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable
internalGetFieldAccessorTable() {
return com.google.cloud.retail.v2alpha.PredictionServiceProto
.internal_static_google_cloud_retail_v2alpha_PredictRequest_fieldAccessorTable
.ensureFieldAccessorsInitialized(
com.google.cloud.retail.v2alpha.PredictRequest.class,
com.google.cloud.retail.v2alpha.PredictRequest.Builder.class);
}
private int bitField0_;
public static final int PLACEMENT_FIELD_NUMBER = 1;
@SuppressWarnings("serial")
private volatile java.lang.Object placement_ = "";
/**
*
*
*
* 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];
*
* @return The placement.
*/
@java.lang.Override
public java.lang.String getPlacement() {
java.lang.Object ref = placement_;
if (ref instanceof java.lang.String) {
return (java.lang.String) ref;
} else {
com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
java.lang.String s = bs.toStringUtf8();
placement_ = s;
return s;
}
}
/**
*
*
*
* 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];
*
* @return The bytes for placement.
*/
@java.lang.Override
public com.google.protobuf.ByteString getPlacementBytes() {
java.lang.Object ref = placement_;
if (ref instanceof java.lang.String) {
com.google.protobuf.ByteString b =
com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
placement_ = b;
return b;
} else {
return (com.google.protobuf.ByteString) ref;
}
}
public static final int USER_EVENT_FIELD_NUMBER = 2;
private com.google.cloud.retail.v2alpha.UserEvent userEvent_;
/**
*
*
*
* 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.v2alpha.UserEvent.visitor_id] or
* [UserInfo.user_id][google.cloud.retail.v2alpha.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.v2alpha.UserEvent.visitor_id] to
* a random unique ID and leave
* [UserInfo.user_id][google.cloud.retail.v2alpha.UserInfo.user_id] unset.
*
*
*
* .google.cloud.retail.v2alpha.UserEvent user_event = 2 [(.google.api.field_behavior) = REQUIRED];
*
*
* @return Whether the userEvent field is set.
*/
@java.lang.Override
public boolean hasUserEvent() {
return ((bitField0_ & 0x00000001) != 0);
}
/**
*
*
*
* 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.v2alpha.UserEvent.visitor_id] or
* [UserInfo.user_id][google.cloud.retail.v2alpha.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.v2alpha.UserEvent.visitor_id] to
* a random unique ID and leave
* [UserInfo.user_id][google.cloud.retail.v2alpha.UserInfo.user_id] unset.
*
*
*
* .google.cloud.retail.v2alpha.UserEvent user_event = 2 [(.google.api.field_behavior) = REQUIRED];
*
*
* @return The userEvent.
*/
@java.lang.Override
public com.google.cloud.retail.v2alpha.UserEvent getUserEvent() {
return userEvent_ == null
? com.google.cloud.retail.v2alpha.UserEvent.getDefaultInstance()
: userEvent_;
}
/**
*
*
*
* 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.v2alpha.UserEvent.visitor_id] or
* [UserInfo.user_id][google.cloud.retail.v2alpha.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.v2alpha.UserEvent.visitor_id] to
* a random unique ID and leave
* [UserInfo.user_id][google.cloud.retail.v2alpha.UserInfo.user_id] unset.
*
*
*
* .google.cloud.retail.v2alpha.UserEvent user_event = 2 [(.google.api.field_behavior) = REQUIRED];
*
*/
@java.lang.Override
public com.google.cloud.retail.v2alpha.UserEventOrBuilder getUserEventOrBuilder() {
return userEvent_ == null
? com.google.cloud.retail.v2alpha.UserEvent.getDefaultInstance()
: userEvent_;
}
public static final int PAGE_SIZE_FIELD_NUMBER = 3;
private int pageSize_ = 0;
/**
*
*
*
* 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;
*
* @return The pageSize.
*/
@java.lang.Override
public int getPageSize() {
return pageSize_;
}
public static final int PAGE_TOKEN_FIELD_NUMBER = 4;
@SuppressWarnings("serial")
private volatile java.lang.Object pageToken_ = "";
/**
*
*
*
* This field is not used; leave it unset.
*
*
* string page_token = 4 [deprecated = true];
*
* @deprecated google.cloud.retail.v2alpha.PredictRequest.page_token is deprecated. See
* google/cloud/retail/v2alpha/prediction_service.proto;l=94
* @return The pageToken.
*/
@java.lang.Override
@java.lang.Deprecated
public java.lang.String getPageToken() {
java.lang.Object ref = pageToken_;
if (ref instanceof java.lang.String) {
return (java.lang.String) ref;
} else {
com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
java.lang.String s = bs.toStringUtf8();
pageToken_ = s;
return s;
}
}
/**
*
*
*
* This field is not used; leave it unset.
*
*
* string page_token = 4 [deprecated = true];
*
* @deprecated google.cloud.retail.v2alpha.PredictRequest.page_token is deprecated. See
* google/cloud/retail/v2alpha/prediction_service.proto;l=94
* @return The bytes for pageToken.
*/
@java.lang.Override
@java.lang.Deprecated
public com.google.protobuf.ByteString getPageTokenBytes() {
java.lang.Object ref = pageToken_;
if (ref instanceof java.lang.String) {
com.google.protobuf.ByteString b =
com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
pageToken_ = b;
return b;
} else {
return (com.google.protobuf.ByteString) ref;
}
}
public static final int FILTER_FIELD_NUMBER = 5;
@SuppressWarnings("serial")
private volatile java.lang.Object filter_ = "";
/**
*
*
*
* 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;
*
* @return The filter.
*/
@java.lang.Override
public java.lang.String getFilter() {
java.lang.Object ref = filter_;
if (ref instanceof java.lang.String) {
return (java.lang.String) ref;
} else {
com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
java.lang.String s = bs.toStringUtf8();
filter_ = s;
return s;
}
}
/**
*
*
*
* 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;
*
* @return The bytes for filter.
*/
@java.lang.Override
public com.google.protobuf.ByteString getFilterBytes() {
java.lang.Object ref = filter_;
if (ref instanceof java.lang.String) {
com.google.protobuf.ByteString b =
com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
filter_ = b;
return b;
} else {
return (com.google.protobuf.ByteString) ref;
}
}
public static final int VALIDATE_ONLY_FIELD_NUMBER = 6;
private boolean validateOnly_ = false;
/**
*
*
*
* 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;
*
* @return The validateOnly.
*/
@java.lang.Override
public boolean getValidateOnly() {
return validateOnly_;
}
public static final int PARAMS_FIELD_NUMBER = 7;
private static final class ParamsDefaultEntryHolder {
static final com.google.protobuf.MapEntry
defaultEntry =
com.google.protobuf.MapEntry
.newDefaultInstance(
com.google.cloud.retail.v2alpha.PredictionServiceProto
.internal_static_google_cloud_retail_v2alpha_PredictRequest_ParamsEntry_descriptor,
com.google.protobuf.WireFormat.FieldType.STRING,
"",
com.google.protobuf.WireFormat.FieldType.MESSAGE,
com.google.protobuf.Value.getDefaultInstance());
}
@SuppressWarnings("serial")
private com.google.protobuf.MapField params_;
private com.google.protobuf.MapField
internalGetParams() {
if (params_ == null) {
return com.google.protobuf.MapField.emptyMapField(ParamsDefaultEntryHolder.defaultEntry);
}
return params_;
}
public int getParamsCount() {
return internalGetParams().getMap().size();
}
/**
*
*
*
* 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;
*/
@java.lang.Override
public boolean containsParams(java.lang.String key) {
if (key == null) {
throw new NullPointerException("map key");
}
return internalGetParams().getMap().containsKey(key);
}
/** Use {@link #getParamsMap()} instead. */
@java.lang.Override
@java.lang.Deprecated
public java.util.Map getParams() {
return getParamsMap();
}
/**
*
*
*
* 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;
*/
@java.lang.Override
public java.util.Map getParamsMap() {
return internalGetParams().getMap();
}
/**
*
*
*
* 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;
*/
@java.lang.Override
public /* nullable */ com.google.protobuf.Value getParamsOrDefault(
java.lang.String key,
/* nullable */
com.google.protobuf.Value defaultValue) {
if (key == null) {
throw new NullPointerException("map key");
}
java.util.Map map = internalGetParams().getMap();
return map.containsKey(key) ? map.get(key) : defaultValue;
}
/**
*
*
*
* 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;
*/
@java.lang.Override
public com.google.protobuf.Value getParamsOrThrow(java.lang.String key) {
if (key == null) {
throw new NullPointerException("map key");
}
java.util.Map map = internalGetParams().getMap();
if (!map.containsKey(key)) {
throw new java.lang.IllegalArgumentException();
}
return map.get(key);
}
public static final int LABELS_FIELD_NUMBER = 8;
private static final class LabelsDefaultEntryHolder {
static final com.google.protobuf.MapEntry defaultEntry =
com.google.protobuf.MapEntry.newDefaultInstance(
com.google.cloud.retail.v2alpha.PredictionServiceProto
.internal_static_google_cloud_retail_v2alpha_PredictRequest_LabelsEntry_descriptor,
com.google.protobuf.WireFormat.FieldType.STRING,
"",
com.google.protobuf.WireFormat.FieldType.STRING,
"");
}
@SuppressWarnings("serial")
private com.google.protobuf.MapField labels_;
private com.google.protobuf.MapField internalGetLabels() {
if (labels_ == null) {
return com.google.protobuf.MapField.emptyMapField(LabelsDefaultEntryHolder.defaultEntry);
}
return labels_;
}
public int getLabelsCount() {
return internalGetLabels().getMap().size();
}
/**
*
*
*
* 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;
*/
@java.lang.Override
public boolean containsLabels(java.lang.String key) {
if (key == null) {
throw new NullPointerException("map key");
}
return internalGetLabels().getMap().containsKey(key);
}
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* * The key portion of a label must be unique. However, you can use the same
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* * Keys must start with a lowercase letter or international character.
*
* See [Google Cloud
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*
*
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* [Manage serving configs]
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*
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* 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).
*
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* 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).
*
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*
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* 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];
*
* @return This builder for chaining.
*/
public Builder clearPlacement() {
placement_ = getDefaultInstance().getPlacement();
bitField0_ = (bitField0_ & ~0x00000001);
onChanged();
return this;
}
/**
*
*
*
* 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];
*
* @param value The bytes for placement to set.
* @return This builder for chaining.
*/
public Builder setPlacementBytes(com.google.protobuf.ByteString value) {
if (value == null) {
throw new NullPointerException();
}
checkByteStringIsUtf8(value);
placement_ = value;
bitField0_ |= 0x00000001;
onChanged();
return this;
}
private com.google.cloud.retail.v2alpha.UserEvent userEvent_;
private com.google.protobuf.SingleFieldBuilderV3<
com.google.cloud.retail.v2alpha.UserEvent,
com.google.cloud.retail.v2alpha.UserEvent.Builder,
com.google.cloud.retail.v2alpha.UserEventOrBuilder>
userEventBuilder_;
/**
*
*
*
* 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.v2alpha.UserEvent.visitor_id] or
* [UserInfo.user_id][google.cloud.retail.v2alpha.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.v2alpha.UserEvent.visitor_id] to
* a random unique ID and leave
* [UserInfo.user_id][google.cloud.retail.v2alpha.UserInfo.user_id] unset.
*
*
*
* .google.cloud.retail.v2alpha.UserEvent user_event = 2 [(.google.api.field_behavior) = REQUIRED];
*
*
* @return Whether the userEvent field is set.
*/
public boolean hasUserEvent() {
return ((bitField0_ & 0x00000002) != 0);
}
/**
*
*
*
* 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.v2alpha.UserEvent.visitor_id] or
* [UserInfo.user_id][google.cloud.retail.v2alpha.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.v2alpha.UserEvent.visitor_id] to
* a random unique ID and leave
* [UserInfo.user_id][google.cloud.retail.v2alpha.UserInfo.user_id] unset.
*
*
*
* .google.cloud.retail.v2alpha.UserEvent user_event = 2 [(.google.api.field_behavior) = REQUIRED];
*
*
* @return The userEvent.
*/
public com.google.cloud.retail.v2alpha.UserEvent getUserEvent() {
if (userEventBuilder_ == null) {
return userEvent_ == null
? com.google.cloud.retail.v2alpha.UserEvent.getDefaultInstance()
: userEvent_;
} else {
return userEventBuilder_.getMessage();
}
}
/**
*
*
*
* 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.v2alpha.UserEvent.visitor_id] or
* [UserInfo.user_id][google.cloud.retail.v2alpha.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.v2alpha.UserEvent.visitor_id] to
* a random unique ID and leave
* [UserInfo.user_id][google.cloud.retail.v2alpha.UserInfo.user_id] unset.
*
*
*
* .google.cloud.retail.v2alpha.UserEvent user_event = 2 [(.google.api.field_behavior) = REQUIRED];
*
*/
public Builder setUserEvent(com.google.cloud.retail.v2alpha.UserEvent value) {
if (userEventBuilder_ == null) {
if (value == null) {
throw new NullPointerException();
}
userEvent_ = value;
} else {
userEventBuilder_.setMessage(value);
}
bitField0_ |= 0x00000002;
onChanged();
return this;
}
/**
*
*
*
* 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.v2alpha.UserEvent.visitor_id] or
* [UserInfo.user_id][google.cloud.retail.v2alpha.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.v2alpha.UserEvent.visitor_id] to
* a random unique ID and leave
* [UserInfo.user_id][google.cloud.retail.v2alpha.UserInfo.user_id] unset.
*
*
*
* .google.cloud.retail.v2alpha.UserEvent user_event = 2 [(.google.api.field_behavior) = REQUIRED];
*
*/
public Builder setUserEvent(com.google.cloud.retail.v2alpha.UserEvent.Builder builderForValue) {
if (userEventBuilder_ == null) {
userEvent_ = builderForValue.build();
} else {
userEventBuilder_.setMessage(builderForValue.build());
}
bitField0_ |= 0x00000002;
onChanged();
return this;
}
/**
*
*
*
* 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.v2alpha.UserEvent.visitor_id] or
* [UserInfo.user_id][google.cloud.retail.v2alpha.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.v2alpha.UserEvent.visitor_id] to
* a random unique ID and leave
* [UserInfo.user_id][google.cloud.retail.v2alpha.UserInfo.user_id] unset.
*
*
*
* .google.cloud.retail.v2alpha.UserEvent user_event = 2 [(.google.api.field_behavior) = REQUIRED];
*
*/
public Builder mergeUserEvent(com.google.cloud.retail.v2alpha.UserEvent value) {
if (userEventBuilder_ == null) {
if (((bitField0_ & 0x00000002) != 0)
&& userEvent_ != null
&& userEvent_ != com.google.cloud.retail.v2alpha.UserEvent.getDefaultInstance()) {
getUserEventBuilder().mergeFrom(value);
} else {
userEvent_ = value;
}
} else {
userEventBuilder_.mergeFrom(value);
}
if (userEvent_ != null) {
bitField0_ |= 0x00000002;
onChanged();
}
return this;
}
/**
*
*
*
* 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.v2alpha.UserEvent.visitor_id] or
* [UserInfo.user_id][google.cloud.retail.v2alpha.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.v2alpha.UserEvent.visitor_id] to
* a random unique ID and leave
* [UserInfo.user_id][google.cloud.retail.v2alpha.UserInfo.user_id] unset.
*
*
*
* .google.cloud.retail.v2alpha.UserEvent user_event = 2 [(.google.api.field_behavior) = REQUIRED];
*
*/
public Builder clearUserEvent() {
bitField0_ = (bitField0_ & ~0x00000002);
userEvent_ = null;
if (userEventBuilder_ != null) {
userEventBuilder_.dispose();
userEventBuilder_ = null;
}
onChanged();
return this;
}
/**
*
*
*
* 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.v2alpha.UserEvent.visitor_id] or
* [UserInfo.user_id][google.cloud.retail.v2alpha.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.v2alpha.UserEvent.visitor_id] to
* a random unique ID and leave
* [UserInfo.user_id][google.cloud.retail.v2alpha.UserInfo.user_id] unset.
*
*
*
* .google.cloud.retail.v2alpha.UserEvent user_event = 2 [(.google.api.field_behavior) = REQUIRED];
*
*/
public com.google.cloud.retail.v2alpha.UserEvent.Builder getUserEventBuilder() {
bitField0_ |= 0x00000002;
onChanged();
return getUserEventFieldBuilder().getBuilder();
}
/**
*
*
*
* 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.v2alpha.UserEvent.visitor_id] or
* [UserInfo.user_id][google.cloud.retail.v2alpha.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.v2alpha.UserEvent.visitor_id] to
* a random unique ID and leave
* [UserInfo.user_id][google.cloud.retail.v2alpha.UserInfo.user_id] unset.
*
*
*
* .google.cloud.retail.v2alpha.UserEvent user_event = 2 [(.google.api.field_behavior) = REQUIRED];
*
*/
public com.google.cloud.retail.v2alpha.UserEventOrBuilder getUserEventOrBuilder() {
if (userEventBuilder_ != null) {
return userEventBuilder_.getMessageOrBuilder();
} else {
return userEvent_ == null
? com.google.cloud.retail.v2alpha.UserEvent.getDefaultInstance()
: userEvent_;
}
}
/**
*
*
*
* 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.v2alpha.UserEvent.visitor_id] or
* [UserInfo.user_id][google.cloud.retail.v2alpha.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.v2alpha.UserEvent.visitor_id] to
* a random unique ID and leave
* [UserInfo.user_id][google.cloud.retail.v2alpha.UserInfo.user_id] unset.
*
*
*
* .google.cloud.retail.v2alpha.UserEvent user_event = 2 [(.google.api.field_behavior) = REQUIRED];
*
*/
private com.google.protobuf.SingleFieldBuilderV3<
com.google.cloud.retail.v2alpha.UserEvent,
com.google.cloud.retail.v2alpha.UserEvent.Builder,
com.google.cloud.retail.v2alpha.UserEventOrBuilder>
getUserEventFieldBuilder() {
if (userEventBuilder_ == null) {
userEventBuilder_ =
new com.google.protobuf.SingleFieldBuilderV3<
com.google.cloud.retail.v2alpha.UserEvent,
com.google.cloud.retail.v2alpha.UserEvent.Builder,
com.google.cloud.retail.v2alpha.UserEventOrBuilder>(
getUserEvent(), getParentForChildren(), isClean());
userEvent_ = null;
}
return userEventBuilder_;
}
private int pageSize_;
/**
*
*
*
* 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;
*
* @return The pageSize.
*/
@java.lang.Override
public int getPageSize() {
return pageSize_;
}
/**
*
*
*
* 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;
*
* @param value The pageSize to set.
* @return This builder for chaining.
*/
public Builder setPageSize(int value) {
pageSize_ = value;
bitField0_ |= 0x00000004;
onChanged();
return this;
}
/**
*
*
*
* 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;
*
* @return This builder for chaining.
*/
public Builder clearPageSize() {
bitField0_ = (bitField0_ & ~0x00000004);
pageSize_ = 0;
onChanged();
return this;
}
private java.lang.Object pageToken_ = "";
/**
*
*
*
* This field is not used; leave it unset.
*
*
* string page_token = 4 [deprecated = true];
*
* @deprecated google.cloud.retail.v2alpha.PredictRequest.page_token is deprecated. See
* google/cloud/retail/v2alpha/prediction_service.proto;l=94
* @return The pageToken.
*/
@java.lang.Deprecated
public java.lang.String getPageToken() {
java.lang.Object ref = pageToken_;
if (!(ref instanceof java.lang.String)) {
com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
java.lang.String s = bs.toStringUtf8();
pageToken_ = s;
return s;
} else {
return (java.lang.String) ref;
}
}
/**
*
*
*
* This field is not used; leave it unset.
*
*
* string page_token = 4 [deprecated = true];
*
* @deprecated google.cloud.retail.v2alpha.PredictRequest.page_token is deprecated. See
* google/cloud/retail/v2alpha/prediction_service.proto;l=94
* @return The bytes for pageToken.
*/
@java.lang.Deprecated
public com.google.protobuf.ByteString getPageTokenBytes() {
java.lang.Object ref = pageToken_;
if (ref instanceof String) {
com.google.protobuf.ByteString b =
com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
pageToken_ = b;
return b;
} else {
return (com.google.protobuf.ByteString) ref;
}
}
/**
*
*
*
* This field is not used; leave it unset.
*
*
* string page_token = 4 [deprecated = true];
*
* @deprecated google.cloud.retail.v2alpha.PredictRequest.page_token is deprecated. See
* google/cloud/retail/v2alpha/prediction_service.proto;l=94
* @param value The pageToken to set.
* @return This builder for chaining.
*/
@java.lang.Deprecated
public Builder setPageToken(java.lang.String value) {
if (value == null) {
throw new NullPointerException();
}
pageToken_ = value;
bitField0_ |= 0x00000008;
onChanged();
return this;
}
/**
*
*
*
* This field is not used; leave it unset.
*
*
* string page_token = 4 [deprecated = true];
*
* @deprecated google.cloud.retail.v2alpha.PredictRequest.page_token is deprecated. See
* google/cloud/retail/v2alpha/prediction_service.proto;l=94
* @return This builder for chaining.
*/
@java.lang.Deprecated
public Builder clearPageToken() {
pageToken_ = getDefaultInstance().getPageToken();
bitField0_ = (bitField0_ & ~0x00000008);
onChanged();
return this;
}
/**
*
*
*
* This field is not used; leave it unset.
*
*
* string page_token = 4 [deprecated = true];
*
* @deprecated google.cloud.retail.v2alpha.PredictRequest.page_token is deprecated. See
* google/cloud/retail/v2alpha/prediction_service.proto;l=94
* @param value The bytes for pageToken to set.
* @return This builder for chaining.
*/
@java.lang.Deprecated
public Builder setPageTokenBytes(com.google.protobuf.ByteString value) {
if (value == null) {
throw new NullPointerException();
}
checkByteStringIsUtf8(value);
pageToken_ = value;
bitField0_ |= 0x00000008;
onChanged();
return this;
}
private java.lang.Object filter_ = "";
/**
*
*
*
* 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;
*
* @return The filter.
*/
public java.lang.String getFilter() {
java.lang.Object ref = filter_;
if (!(ref instanceof java.lang.String)) {
com.google.protobuf.ByteString bs = (com.google.protobuf.ByteString) ref;
java.lang.String s = bs.toStringUtf8();
filter_ = s;
return s;
} else {
return (java.lang.String) ref;
}
}
/**
*
*
*
* 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;
*
* @return The bytes for filter.
*/
public com.google.protobuf.ByteString getFilterBytes() {
java.lang.Object ref = filter_;
if (ref instanceof String) {
com.google.protobuf.ByteString b =
com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);
filter_ = b;
return b;
} else {
return (com.google.protobuf.ByteString) ref;
}
}
/**
*
*
*
* 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;
*
* @param value The filter to set.
* @return This builder for chaining.
*/
public Builder setFilter(java.lang.String value) {
if (value == null) {
throw new NullPointerException();
}
filter_ = value;
bitField0_ |= 0x00000010;
onChanged();
return this;
}
/**
*
*
*
* 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;
*
* @return This builder for chaining.
*/
public Builder clearFilter() {
filter_ = getDefaultInstance().getFilter();
bitField0_ = (bitField0_ & ~0x00000010);
onChanged();
return this;
}
/**
*
*
*
* 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;
*
* @param value The bytes for filter to set.
* @return This builder for chaining.
*/
public Builder setFilterBytes(com.google.protobuf.ByteString value) {
if (value == null) {
throw new NullPointerException();
}
checkByteStringIsUtf8(value);
filter_ = value;
bitField0_ |= 0x00000010;
onChanged();
return this;
}
private boolean validateOnly_;
/**
*
*
*
* 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;
*
* @return The validateOnly.
*/
@java.lang.Override
public boolean getValidateOnly() {
return validateOnly_;
}
/**
*
*
*
* 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;
*
* @param value The validateOnly to set.
* @return This builder for chaining.
*/
public Builder setValidateOnly(boolean value) {
validateOnly_ = value;
bitField0_ |= 0x00000020;
onChanged();
return this;
}
/**
*
*
*
* 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;
*
* @return This builder for chaining.
*/
public Builder clearValidateOnly() {
bitField0_ = (bitField0_ & ~0x00000020);
validateOnly_ = false;
onChanged();
return this;
}
private static final class ParamsConverter
implements com.google.protobuf.MapFieldBuilder.Converter<
java.lang.String, com.google.protobuf.ValueOrBuilder, com.google.protobuf.Value> {
@java.lang.Override
public com.google.protobuf.Value build(com.google.protobuf.ValueOrBuilder val) {
if (val instanceof com.google.protobuf.Value) {
return (com.google.protobuf.Value) val;
}
return ((com.google.protobuf.Value.Builder) val).build();
}
@java.lang.Override
public com.google.protobuf.MapEntry
defaultEntry() {
return ParamsDefaultEntryHolder.defaultEntry;
}
};
private static final ParamsConverter paramsConverter = new ParamsConverter();
private com.google.protobuf.MapFieldBuilder<
java.lang.String,
com.google.protobuf.ValueOrBuilder,
com.google.protobuf.Value,
com.google.protobuf.Value.Builder>
params_;
private com.google.protobuf.MapFieldBuilder<
java.lang.String,
com.google.protobuf.ValueOrBuilder,
com.google.protobuf.Value,
com.google.protobuf.Value.Builder>
internalGetParams() {
if (params_ == null) {
return new com.google.protobuf.MapFieldBuilder<>(paramsConverter);
}
return params_;
}
private com.google.protobuf.MapFieldBuilder<
java.lang.String,
com.google.protobuf.ValueOrBuilder,
com.google.protobuf.Value,
com.google.protobuf.Value.Builder>
internalGetMutableParams() {
if (params_ == null) {
params_ = new com.google.protobuf.MapFieldBuilder<>(paramsConverter);
}
bitField0_ |= 0x00000040;
onChanged();
return params_;
}
public int getParamsCount() {
return internalGetParams().ensureBuilderMap().size();
}
/**
*
*
*
* 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;
*/
@java.lang.Override
public boolean containsParams(java.lang.String key) {
if (key == null) {
throw new NullPointerException("map key");
}
return internalGetParams().ensureBuilderMap().containsKey(key);
}
/** Use {@link #getParamsMap()} instead. */
@java.lang.Override
@java.lang.Deprecated
public java.util.Map getParams() {
return getParamsMap();
}
/**
*
*
*
* 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;
*/
@java.lang.Override
public java.util.Map getParamsMap() {
return internalGetParams().getImmutableMap();
}
/**
*
*
*
* 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;
*/
@java.lang.Override
public /* nullable */ com.google.protobuf.Value getParamsOrDefault(
java.lang.String key,
/* nullable */
com.google.protobuf.Value defaultValue) {
if (key == null) {
throw new NullPointerException("map key");
}
java.util.Map map =
internalGetMutableParams().ensureBuilderMap();
return map.containsKey(key) ? paramsConverter.build(map.get(key)) : defaultValue;
}
/**
*
*
*
* 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;
*/
@java.lang.Override
public com.google.protobuf.Value getParamsOrThrow(java.lang.String key) {
if (key == null) {
throw new NullPointerException("map key");
}
java.util.Map map =
internalGetMutableParams().ensureBuilderMap();
if (!map.containsKey(key)) {
throw new java.lang.IllegalArgumentException();
}
return paramsConverter.build(map.get(key));
}
public Builder clearParams() {
bitField0_ = (bitField0_ & ~0x00000040);
internalGetMutableParams().clear();
return this;
}
/**
*
*
*
* 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;
*/
public Builder removeParams(java.lang.String key) {
if (key == null) {
throw new NullPointerException("map key");
}
internalGetMutableParams().ensureBuilderMap().remove(key);
return this;
}
/** Use alternate mutation accessors instead. */
@java.lang.Deprecated
public java.util.Map getMutableParams() {
bitField0_ |= 0x00000040;
return internalGetMutableParams().ensureMessageMap();
}
/**
*
*
*
* 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;
*/
public Builder putParams(java.lang.String key, com.google.protobuf.Value value) {
if (key == null) {
throw new NullPointerException("map key");
}
if (value == null) {
throw new NullPointerException("map value");
}
internalGetMutableParams().ensureBuilderMap().put(key, value);
bitField0_ |= 0x00000040;
return this;
}
/**
*
*
*
* 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;
*/
public Builder putAllParams(java.util.Map values) {
for (java.util.Map.Entry e : values.entrySet()) {
if (e.getKey() == null || e.getValue() == null) {
throw new NullPointerException();
}
}
internalGetMutableParams().ensureBuilderMap().putAll(values);
bitField0_ |= 0x00000040;
return this;
}
/**
*
*
*
* 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;
*/
public com.google.protobuf.Value.Builder putParamsBuilderIfAbsent(java.lang.String key) {
java.util.Map builderMap =
internalGetMutableParams().ensureBuilderMap();
com.google.protobuf.ValueOrBuilder entry = builderMap.get(key);
if (entry == null) {
entry = com.google.protobuf.Value.newBuilder();
builderMap.put(key, entry);
}
if (entry instanceof com.google.protobuf.Value) {
entry = ((com.google.protobuf.Value) entry).toBuilder();
builderMap.put(key, entry);
}
return (com.google.protobuf.Value.Builder) entry;
}
private com.google.protobuf.MapField labels_;
private com.google.protobuf.MapField internalGetLabels() {
if (labels_ == null) {
return com.google.protobuf.MapField.emptyMapField(LabelsDefaultEntryHolder.defaultEntry);
}
return labels_;
}
private com.google.protobuf.MapField
internalGetMutableLabels() {
if (labels_ == null) {
labels_ = com.google.protobuf.MapField.newMapField(LabelsDefaultEntryHolder.defaultEntry);
}
if (!labels_.isMutable()) {
labels_ = labels_.copy();
}
bitField0_ |= 0x00000080;
onChanged();
return labels_;
}
public int getLabelsCount() {
return internalGetLabels().getMap().size();
}
/**
*
*
*
* 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;
*/
@java.lang.Override
public boolean containsLabels(java.lang.String key) {
if (key == null) {
throw new NullPointerException("map key");
}
return internalGetLabels().getMap().containsKey(key);
}
/** Use {@link #getLabelsMap()} instead. */
@java.lang.Override
@java.lang.Deprecated
public java.util.Map getLabels() {
return getLabelsMap();
}
/**
*
*
*
* 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;
*/
@java.lang.Override
public java.util.Map getLabelsMap() {
return internalGetLabels().getMap();
}
/**
*
*
*
* 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;
*/
@java.lang.Override
public /* nullable */ java.lang.String getLabelsOrDefault(
java.lang.String key,
/* nullable */
java.lang.String defaultValue) {
if (key == null) {
throw new NullPointerException("map key");
}
java.util.Map map = internalGetLabels().getMap();
return map.containsKey(key) ? map.get(key) : defaultValue;
}
/**
*
*
*
* 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;
*/
@java.lang.Override
public java.lang.String getLabelsOrThrow(java.lang.String key) {
if (key == null) {
throw new NullPointerException("map key");
}
java.util.Map map = internalGetLabels().getMap();
if (!map.containsKey(key)) {
throw new java.lang.IllegalArgumentException();
}
return map.get(key);
}
public Builder clearLabels() {
bitField0_ = (bitField0_ & ~0x00000080);
internalGetMutableLabels().getMutableMap().clear();
return this;
}
/**
*
*
*
* 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;
*/
public Builder removeLabels(java.lang.String key) {
if (key == null) {
throw new NullPointerException("map key");
}
internalGetMutableLabels().getMutableMap().remove(key);
return this;
}
/** Use alternate mutation accessors instead. */
@java.lang.Deprecated
public java.util.Map getMutableLabels() {
bitField0_ |= 0x00000080;
return internalGetMutableLabels().getMutableMap();
}
/**
*
*
*
* 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;
*/
public Builder putLabels(java.lang.String key, java.lang.String value) {
if (key == null) {
throw new NullPointerException("map key");
}
if (value == null) {
throw new NullPointerException("map value");
}
internalGetMutableLabels().getMutableMap().put(key, value);
bitField0_ |= 0x00000080;
return this;
}
/**
*
*
*
* 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;
*/
public Builder putAllLabels(java.util.Map values) {
internalGetMutableLabels().getMutableMap().putAll(values);
bitField0_ |= 0x00000080;
return this;
}
@java.lang.Override
public final Builder setUnknownFields(final com.google.protobuf.UnknownFieldSet unknownFields) {
return super.setUnknownFields(unknownFields);
}
@java.lang.Override
public final Builder mergeUnknownFields(
final com.google.protobuf.UnknownFieldSet unknownFields) {
return super.mergeUnknownFields(unknownFields);
}
// @@protoc_insertion_point(builder_scope:google.cloud.retail.v2alpha.PredictRequest)
}
// @@protoc_insertion_point(class_scope:google.cloud.retail.v2alpha.PredictRequest)
private static final com.google.cloud.retail.v2alpha.PredictRequest DEFAULT_INSTANCE;
static {
DEFAULT_INSTANCE = new com.google.cloud.retail.v2alpha.PredictRequest();
}
public static com.google.cloud.retail.v2alpha.PredictRequest getDefaultInstance() {
return DEFAULT_INSTANCE;
}
private static final com.google.protobuf.Parser PARSER =
new com.google.protobuf.AbstractParser() {
@java.lang.Override
public PredictRequest parsePartialFrom(
com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry)
throws com.google.protobuf.InvalidProtocolBufferException {
Builder builder = newBuilder();
try {
builder.mergeFrom(input, extensionRegistry);
} catch (com.google.protobuf.InvalidProtocolBufferException e) {
throw e.setUnfinishedMessage(builder.buildPartial());
} catch (com.google.protobuf.UninitializedMessageException e) {
throw e.asInvalidProtocolBufferException().setUnfinishedMessage(builder.buildPartial());
} catch (java.io.IOException e) {
throw new com.google.protobuf.InvalidProtocolBufferException(e)
.setUnfinishedMessage(builder.buildPartial());
}
return builder.buildPartial();
}
};
public static com.google.protobuf.Parser parser() {
return PARSER;
}
@java.lang.Override
public com.google.protobuf.Parser getParserForType() {
return PARSER;
}
@java.lang.Override
public com.google.cloud.retail.v2alpha.PredictRequest getDefaultInstanceForType() {
return DEFAULT_INSTANCE;
}
}
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