addControl(servingConfig, body=None, x__xgafv=None)

Enables a Control on the specified ServingConfig. The control is added in the last position of the list of controls it belongs to (e.g. if it's a facet spec control it will be applied in the last position of servingConfig.facetSpecIds) Returns a ALREADY_EXISTS error if the control has already been applied. Returns a FAILED_PRECONDITION error if the addition could exceed maximum number of control allowed for that type of control.

Args:
servingConfig: string, Required. The source ServingConfig resource name . Format: `projects/{project_number}/locations/{location_id}/catalogs/{catalog_id}/servingConfigs/{serving_config_id}` (required)
body: object, The request body.
The object takes the form of:

{ # Request for AddControl method.
"controlId": "A String", # Required. The id of the control to apply. Assumed to be in the same catalog as the serving config - if id is not found a NOT_FOUND error is returned.
}

x__xgafv: string, V1 error format.
Allowed values
1 - v1 error format
2 - v2 error format

Returns:
An object of the form:

{ # Configures metadata that is used to generate serving time results (e.g. search results or recommendation predictions).
"boostControlIds": [ # Condition boost specifications. If a product matches multiple conditions in the specifications, boost scores from these specifications are all applied and combined in a non-linear way. Maximum number of specifications is 100. Notice that if both ServingConfig.boost_control_ids and SearchRequest.boost_spec are set, the boost conditions from both places are evaluated. If a search request matches multiple boost conditions, the final boost score is equal to the sum of the boost scores from all matched boost conditions. Can only be set if solution_types is SOLUTION_TYPE_SEARCH.
"A String",
],
"displayName": "A String", # Required. The human readable serving config display name. Used in Retail UI. This field must be a UTF-8 encoded string with a length limit of 128 characters. Otherwise, an INVALID_ARGUMENT error is returned.
"diversityLevel": "A String", # How much diversity to use in recommendation model results e.g. `medium-diversity` or `high-diversity`. Currently supported values: * `no-diversity` * `low-diversity` * `medium-diversity` * `high-diversity` * `auto-diversity` If not specified, we choose default based on recommendation model type. Default value: `no-diversity`. Can only be set if solution_types is SOLUTION_TYPE_RECOMMENDATION.
"diversityType": "A String", # What kind of diversity to use - data driven or rule based. If unset, the server behavior defaults to RULE_BASED_DIVERSITY.
"doNotAssociateControlIds": [ # Condition do not associate specifications. If multiple do not associate conditions match, all matching do not associate controls in the list will execute. - Order does not matter. - Maximum number of specifications is 100. Can only be set if solution_types is SOLUTION_TYPE_SEARCH.
"A String",
],
"dynamicFacetSpec": { # The specifications of dynamically generated facets. # The specification for dynamically generated facets. Notice that only textual facets can be dynamically generated. Can only be set if solution_types is SOLUTION_TYPE_SEARCH.
"mode": "A String", # Mode of the DynamicFacet feature. Defaults to Mode.DISABLED if it's unset.
},
"enableCategoryFilterLevel": "A String", # Whether to add additional category filters on the `similar-items` model. If not specified, we enable it by default. Allowed values are: * `no-category-match`: No additional filtering of original results from the model and the customer's filters. * `relaxed-category-match`: Only keep results with categories that match at least one item categories in the PredictRequests's context item. * If customer also sends filters in the PredictRequest, then the results will satisfy both conditions (user given and category match). Can only be set if solution_types is SOLUTION_TYPE_RECOMMENDATION.
"facetControlIds": [ # Facet specifications for faceted search. If empty, no facets are returned. The ids refer to the ids of Control resources with only the Facet control set. These controls are assumed to be in the same Catalog as the ServingConfig. A maximum of 100 values are allowed. Otherwise, an INVALID_ARGUMENT error is returned. Can only be set if solution_types is SOLUTION_TYPE_SEARCH.
"A String",
],
"filterControlIds": [ # Condition filter specifications. If a product matches multiple conditions in the specifications, filters from these specifications are all applied and combined via the AND operator. Maximum number of specifications is 100. Can only be set if solution_types is SOLUTION_TYPE_SEARCH.
"A String",
],
"ignoreControlIds": [ # Condition ignore specifications. If multiple ignore conditions match, all matching ignore controls in the list will execute. - Order does not matter. - Maximum number of specifications is 100. Can only be set if solution_types is SOLUTION_TYPE_SEARCH.
"A String",
],
"ignoreRecsDenylist": True or False, # When the flag is enabled, the products in the denylist will not be filtered out in the recommendation filtering results.
"modelId": "A String", # The id of the model in the same Catalog to use at serving time. Currently only RecommendationModels are supported: https://cloud.google.com/retail/recommendations-ai/docs/create-models Can be changed but only to a compatible model (e.g. others-you-may-like CTR to others-you-may-like CVR). Required when solution_types is SOLUTION_TYPE_RECOMMENDATION.
"name": "A String", # Immutable. Fully qualified name `projects/*/locations/global/catalogs/*/servingConfig/*`
"onewaySynonymsControlIds": [ # Condition oneway synonyms specifications. If multiple oneway synonyms conditions match, all matching oneway synonyms controls in the list will execute. Order of controls in the list will not matter. Maximum number of specifications is 100. Can only be set if solution_types is SOLUTION_TYPE_SEARCH.
"A String",
],
"personalizationSpec": { # The specification for personalization. # The specification for personalization spec. Can only be set if solution_types is SOLUTION_TYPE_SEARCH. Notice that if both ServingConfig.personalization_spec and SearchRequest.personalization_spec are set. SearchRequest.personalization_spec will override ServingConfig.personalization_spec.
"mode": "A String", # Defaults to Mode.AUTO.
},
"priceRerankingLevel": "A String", # How much price ranking we want in serving results. Price reranking causes product items with a similar recommendation probability to be ordered by price, with the highest-priced items first. This setting could result in a decrease in click-through and conversion rates. Allowed values are: * `no-price-reranking` * `low-price-reranking` * `medium-price-reranking` * `high-price-reranking` If not specified, we choose default based on model type. Default value: `no-price-reranking`. Can only be set if solution_types is SOLUTION_TYPE_RECOMMENDATION.
"redirectControlIds": [ # Condition redirect specifications. Only the first triggered redirect action is applied, even if multiple apply. Maximum number of specifications is 1000. Can only be set if solution_types is SOLUTION_TYPE_SEARCH.
"A String",
],
"replacementControlIds": [ # Condition replacement specifications. - Applied according to the order in the list. - A previously replaced term can not be re-replaced. - Maximum number of specifications is 100. Can only be set if solution_types is SOLUTION_TYPE_SEARCH.
"A String",
],
"solutionTypes": [ # Required. Immutable. Specifies the solution types that a serving config can be associated with. Currently we support setting only one type of solution.
"A String",
],
"twowaySynonymsControlIds": [ # Condition synonyms specifications. If multiple syonyms conditions match, all matching synonyms control in the list will execute. Order of controls in the list will not matter. Maximum number of specifications is 100. Can only be set if solution_types is SOLUTION_TYPE_SEARCH.
"A String",
],
}

close()

Close httplib2 connections.

create(parent, body=None, servingConfigId=None, x__xgafv=None)

Creates a ServingConfig. A maximum of 100 ServingConfigs are allowed in a Catalog, otherwise a FAILED_PRECONDITION error is returned.

Args:
parent: string, Required. Full resource name of parent. Format: `projects/{project_number}/locations/{location_id}/catalogs/{catalog_id}` (required)
body: object, The request body.
The object takes the form of:

{ # Configures metadata that is used to generate serving time results (e.g. search results or recommendation predictions).
"boostControlIds": [ # Condition boost specifications. If a product matches multiple conditions in the specifications, boost scores from these specifications are all applied and combined in a non-linear way. Maximum number of specifications is 100. Notice that if both ServingConfig.boost_control_ids and SearchRequest.boost_spec are set, the boost conditions from both places are evaluated. If a search request matches multiple boost conditions, the final boost score is equal to the sum of the boost scores from all matched boost conditions. Can only be set if solution_types is SOLUTION_TYPE_SEARCH.
"A String",
],
"displayName": "A String", # Required. The human readable serving config display name. Used in Retail UI. This field must be a UTF-8 encoded string with a length limit of 128 characters. Otherwise, an INVALID_ARGUMENT error is returned.
"diversityLevel": "A String", # How much diversity to use in recommendation model results e.g. `medium-diversity` or `high-diversity`. Currently supported values: * `no-diversity` * `low-diversity` * `medium-diversity` * `high-diversity` * `auto-diversity` If not specified, we choose default based on recommendation model type. Default value: `no-diversity`. Can only be set if solution_types is SOLUTION_TYPE_RECOMMENDATION.
"diversityType": "A String", # What kind of diversity to use - data driven or rule based. If unset, the server behavior defaults to RULE_BASED_DIVERSITY.
"doNotAssociateControlIds": [ # Condition do not associate specifications. If multiple do not associate conditions match, all matching do not associate controls in the list will execute. - Order does not matter. - Maximum number of specifications is 100. Can only be set if solution_types is SOLUTION_TYPE_SEARCH.
"A String",
],
"dynamicFacetSpec": { # The specifications of dynamically generated facets. # The specification for dynamically generated facets. Notice that only textual facets can be dynamically generated. Can only be set if solution_types is SOLUTION_TYPE_SEARCH.
"mode": "A String", # Mode of the DynamicFacet feature. Defaults to Mode.DISABLED if it's unset.
},
"enableCategoryFilterLevel": "A String", # Whether to add additional category filters on the `similar-items` model. If not specified, we enable it by default. Allowed values are: * `no-category-match`: No additional filtering of original results from the model and the customer's filters. * `relaxed-category-match`: Only keep results with categories that match at least one item categories in the PredictRequests's context item. * If customer also sends filters in the PredictRequest, then the results will satisfy both conditions (user given and category match). Can only be set if solution_types is SOLUTION_TYPE_RECOMMENDATION.
"facetControlIds": [ # Facet specifications for faceted search. If empty, no facets are returned. The ids refer to the ids of Control resources with only the Facet control set. These controls are assumed to be in the same Catalog as the ServingConfig. A maximum of 100 values are allowed. Otherwise, an INVALID_ARGUMENT error is returned. Can only be set if solution_types is SOLUTION_TYPE_SEARCH.
"A String",
],
"filterControlIds": [ # Condition filter specifications. If a product matches multiple conditions in the specifications, filters from these specifications are all applied and combined via the AND operator. Maximum number of specifications is 100. Can only be set if solution_types is SOLUTION_TYPE_SEARCH.
"A String",
],
"ignoreControlIds": [ # Condition ignore specifications. If multiple ignore conditions match, all matching ignore controls in the list will execute. - Order does not matter. - Maximum number of specifications is 100. Can only be set if solution_types is SOLUTION_TYPE_SEARCH.
"A String",
],
"ignoreRecsDenylist": True or False, # When the flag is enabled, the products in the denylist will not be filtered out in the recommendation filtering results.
"modelId": "A String", # The id of the model in the same Catalog to use at serving time. Currently only RecommendationModels are supported: https://cloud.google.com/retail/recommendations-ai/docs/create-models Can be changed but only to a compatible model (e.g. others-you-may-like CTR to others-you-may-like CVR). Required when solution_types is SOLUTION_TYPE_RECOMMENDATION.
"name": "A String", # Immutable. Fully qualified name `projects/*/locations/global/catalogs/*/servingConfig/*`
"onewaySynonymsControlIds": [ # Condition oneway synonyms specifications. If multiple oneway synonyms conditions match, all matching oneway synonyms controls in the list will execute. Order of controls in the list will not matter. Maximum number of specifications is 100. Can only be set if solution_types is SOLUTION_TYPE_SEARCH.
"A String",
],
"personalizationSpec": { # The specification for personalization. # The specification for personalization spec. Can only be set if solution_types is SOLUTION_TYPE_SEARCH. Notice that if both ServingConfig.personalization_spec and SearchRequest.personalization_spec are set. SearchRequest.personalization_spec will override ServingConfig.personalization_spec.
"mode": "A String", # Defaults to Mode.AUTO.
},
"priceRerankingLevel": "A String", # How much price ranking we want in serving results. Price reranking causes product items with a similar recommendation probability to be ordered by price, with the highest-priced items first. This setting could result in a decrease in click-through and conversion rates. Allowed values are: * `no-price-reranking` * `low-price-reranking` * `medium-price-reranking` * `high-price-reranking` If not specified, we choose default based on model type. Default value: `no-price-reranking`. Can only be set if solution_types is SOLUTION_TYPE_RECOMMENDATION.
"redirectControlIds": [ # Condition redirect specifications. Only the first triggered redirect action is applied, even if multiple apply. Maximum number of specifications is 1000. Can only be set if solution_types is SOLUTION_TYPE_SEARCH.
"A String",
],
"replacementControlIds": [ # Condition replacement specifications. - Applied according to the order in the list. - A previously replaced term can not be re-replaced. - Maximum number of specifications is 100. Can only be set if solution_types is SOLUTION_TYPE_SEARCH.
"A String",
],
"solutionTypes": [ # Required. Immutable. Specifies the solution types that a serving config can be associated with. Currently we support setting only one type of solution.
"A String",
],
"twowaySynonymsControlIds": [ # Condition synonyms specifications. If multiple syonyms conditions match, all matching synonyms control in the list will execute. Order of controls in the list will not matter. Maximum number of specifications is 100. Can only be set if solution_types is SOLUTION_TYPE_SEARCH.
"A String",
],
}

servingConfigId: string, Required. The ID to use for the ServingConfig, which will become the final component of the ServingConfig's resource name. This value should be 4-63 characters, and valid characters are /a-z-_/.
x__xgafv: string, V1 error format.
Allowed values
1 - v1 error format
2 - v2 error format

Returns:
An object of the form:

{ # Configures metadata that is used to generate serving time results (e.g. search results or recommendation predictions).
"boostControlIds": [ # Condition boost specifications. If a product matches multiple conditions in the specifications, boost scores from these specifications are all applied and combined in a non-linear way. Maximum number of specifications is 100. Notice that if both ServingConfig.boost_control_ids and SearchRequest.boost_spec are set, the boost conditions from both places are evaluated. If a search request matches multiple boost conditions, the final boost score is equal to the sum of the boost scores from all matched boost conditions. Can only be set if solution_types is SOLUTION_TYPE_SEARCH.
"A String",
],
"displayName": "A String", # Required. The human readable serving config display name. Used in Retail UI. This field must be a UTF-8 encoded string with a length limit of 128 characters. Otherwise, an INVALID_ARGUMENT error is returned.
"diversityLevel": "A String", # How much diversity to use in recommendation model results e.g. `medium-diversity` or `high-diversity`. Currently supported values: * `no-diversity` * `low-diversity` * `medium-diversity` * `high-diversity` * `auto-diversity` If not specified, we choose default based on recommendation model type. Default value: `no-diversity`. Can only be set if solution_types is SOLUTION_TYPE_RECOMMENDATION.
"diversityType": "A String", # What kind of diversity to use - data driven or rule based. If unset, the server behavior defaults to RULE_BASED_DIVERSITY.
"doNotAssociateControlIds": [ # Condition do not associate specifications. If multiple do not associate conditions match, all matching do not associate controls in the list will execute. - Order does not matter. - Maximum number of specifications is 100. Can only be set if solution_types is SOLUTION_TYPE_SEARCH.
"A String",
],
"dynamicFacetSpec": { # The specifications of dynamically generated facets. # The specification for dynamically generated facets. Notice that only textual facets can be dynamically generated. Can only be set if solution_types is SOLUTION_TYPE_SEARCH.
"mode": "A String", # Mode of the DynamicFacet feature. Defaults to Mode.DISABLED if it's unset.
},
"enableCategoryFilterLevel": "A String", # Whether to add additional category filters on the `similar-items` model. If not specified, we enable it by default. Allowed values are: * `no-category-match`: No additional filtering of original results from the model and the customer's filters. * `relaxed-category-match`: Only keep results with categories that match at least one item categories in the PredictRequests's context item. * If customer also sends filters in the PredictRequest, then the results will satisfy both conditions (user given and category match). Can only be set if solution_types is SOLUTION_TYPE_RECOMMENDATION.
"facetControlIds": [ # Facet specifications for faceted search. If empty, no facets are returned. The ids refer to the ids of Control resources with only the Facet control set. These controls are assumed to be in the same Catalog as the ServingConfig. A maximum of 100 values are allowed. Otherwise, an INVALID_ARGUMENT error is returned. Can only be set if solution_types is SOLUTION_TYPE_SEARCH.
"A String",
],
"filterControlIds": [ # Condition filter specifications. If a product matches multiple conditions in the specifications, filters from these specifications are all applied and combined via the AND operator. Maximum number of specifications is 100. Can only be set if solution_types is SOLUTION_TYPE_SEARCH.
"A String",
],
"ignoreControlIds": [ # Condition ignore specifications. If multiple ignore conditions match, all matching ignore controls in the list will execute. - Order does not matter. - Maximum number of specifications is 100. Can only be set if solution_types is SOLUTION_TYPE_SEARCH.
"A String",
],
"ignoreRecsDenylist": True or False, # When the flag is enabled, the products in the denylist will not be filtered out in the recommendation filtering results.
"modelId": "A String", # The id of the model in the same Catalog to use at serving time. Currently only RecommendationModels are supported: https://cloud.google.com/retail/recommendations-ai/docs/create-models Can be changed but only to a compatible model (e.g. others-you-may-like CTR to others-you-may-like CVR). Required when solution_types is SOLUTION_TYPE_RECOMMENDATION.
"name": "A String", # Immutable. Fully qualified name `projects/*/locations/global/catalogs/*/servingConfig/*`
"onewaySynonymsControlIds": [ # Condition oneway synonyms specifications. If multiple oneway synonyms conditions match, all matching oneway synonyms controls in the list will execute. Order of controls in the list will not matter. Maximum number of specifications is 100. Can only be set if solution_types is SOLUTION_TYPE_SEARCH.
"A String",
],
"personalizationSpec": { # The specification for personalization. # The specification for personalization spec. Can only be set if solution_types is SOLUTION_TYPE_SEARCH. Notice that if both ServingConfig.personalization_spec and SearchRequest.personalization_spec are set. SearchRequest.personalization_spec will override ServingConfig.personalization_spec.
"mode": "A String", # Defaults to Mode.AUTO.
},
"priceRerankingLevel": "A String", # How much price ranking we want in serving results. Price reranking causes product items with a similar recommendation probability to be ordered by price, with the highest-priced items first. This setting could result in a decrease in click-through and conversion rates. Allowed values are: * `no-price-reranking` * `low-price-reranking` * `medium-price-reranking` * `high-price-reranking` If not specified, we choose default based on model type. Default value: `no-price-reranking`. Can only be set if solution_types is SOLUTION_TYPE_RECOMMENDATION.
"redirectControlIds": [ # Condition redirect specifications. Only the first triggered redirect action is applied, even if multiple apply. Maximum number of specifications is 1000. Can only be set if solution_types is SOLUTION_TYPE_SEARCH.
"A String",
],
"replacementControlIds": [ # Condition replacement specifications. - Applied according to the order in the list. - A previously replaced term can not be re-replaced. - Maximum number of specifications is 100. Can only be set if solution_types is SOLUTION_TYPE_SEARCH.
"A String",
],
"solutionTypes": [ # Required. Immutable. Specifies the solution types that a serving config can be associated with. Currently we support setting only one type of solution.
"A String",
],
"twowaySynonymsControlIds": [ # Condition synonyms specifications. If multiple syonyms conditions match, all matching synonyms control in the list will execute. Order of controls in the list will not matter. Maximum number of specifications is 100. Can only be set if solution_types is SOLUTION_TYPE_SEARCH.
"A String",
],
}

delete(name, x__xgafv=None)

Deletes a ServingConfig. Returns a NotFound error if the ServingConfig does not exist.

Args:
  name: string, Required. The resource name of the ServingConfig to delete. Format: `projects/{project_number}/locations/{location_id}/catalogs/{catalog_id}/servingConfigs/{serving_config_id}` (required)
  x__xgafv: string, V1 error format.
    Allowed values
      1 - v1 error format
      2 - v2 error format

Returns:
  An object of the form:

    { # A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); }
}

get(name, x__xgafv=None)

Gets a ServingConfig. Returns a NotFound error if the ServingConfig does not exist.

Args:
  name: string, Required. The resource name of the ServingConfig to get. Format: `projects/{project_number}/locations/{location_id}/catalogs/{catalog_id}/servingConfigs/{serving_config_id}` (required)
  x__xgafv: string, V1 error format.
    Allowed values
      1 - v1 error format
      2 - v2 error format

Returns:
  An object of the form:

    { # Configures metadata that is used to generate serving time results (e.g. search results or recommendation predictions).
  "boostControlIds": [ # Condition boost specifications. If a product matches multiple conditions in the specifications, boost scores from these specifications are all applied and combined in a non-linear way. Maximum number of specifications is 100. Notice that if both ServingConfig.boost_control_ids and SearchRequest.boost_spec are set, the boost conditions from both places are evaluated. If a search request matches multiple boost conditions, the final boost score is equal to the sum of the boost scores from all matched boost conditions. Can only be set if solution_types is SOLUTION_TYPE_SEARCH.
    "A String",
  ],
  "displayName": "A String", # Required. The human readable serving config display name. Used in Retail UI. This field must be a UTF-8 encoded string with a length limit of 128 characters. Otherwise, an INVALID_ARGUMENT error is returned.
  "diversityLevel": "A String", # How much diversity to use in recommendation model results e.g. `medium-diversity` or `high-diversity`. Currently supported values: * `no-diversity` * `low-diversity` * `medium-diversity` * `high-diversity` * `auto-diversity` If not specified, we choose default based on recommendation model type. Default value: `no-diversity`. Can only be set if solution_types is SOLUTION_TYPE_RECOMMENDATION.
  "diversityType": "A String", # What kind of diversity to use - data driven or rule based. If unset, the server behavior defaults to RULE_BASED_DIVERSITY.
  "doNotAssociateControlIds": [ # Condition do not associate specifications. If multiple do not associate conditions match, all matching do not associate controls in the list will execute. - Order does not matter. - Maximum number of specifications is 100. Can only be set if solution_types is SOLUTION_TYPE_SEARCH.
    "A String",
  ],
  "dynamicFacetSpec": { # The specifications of dynamically generated facets. # The specification for dynamically generated facets. Notice that only textual facets can be dynamically generated. Can only be set if solution_types is SOLUTION_TYPE_SEARCH.
    "mode": "A String", # Mode of the DynamicFacet feature. Defaults to Mode.DISABLED if it's unset.
  },
  "enableCategoryFilterLevel": "A String", # Whether to add additional category filters on the `similar-items` model. If not specified, we enable it by default. Allowed values are: * `no-category-match`: No additional filtering of original results from the model and the customer's filters. * `relaxed-category-match`: Only keep results with categories that match at least one item categories in the PredictRequests's context item. * If customer also sends filters in the PredictRequest, then the results will satisfy both conditions (user given and category match). Can only be set if solution_types is SOLUTION_TYPE_RECOMMENDATION.
  "facetControlIds": [ # Facet specifications for faceted search. If empty, no facets are returned. The ids refer to the ids of Control resources with only the Facet control set. These controls are assumed to be in the same Catalog as the ServingConfig. A maximum of 100 values are allowed. Otherwise, an INVALID_ARGUMENT error is returned. Can only be set if solution_types is SOLUTION_TYPE_SEARCH.
    "A String",
  ],
  "filterControlIds": [ # Condition filter specifications. If a product matches multiple conditions in the specifications, filters from these specifications are all applied and combined via the AND operator. Maximum number of specifications is 100. Can only be set if solution_types is SOLUTION_TYPE_SEARCH.
    "A String",
  ],
  "ignoreControlIds": [ # Condition ignore specifications. If multiple ignore conditions match, all matching ignore controls in the list will execute. - Order does not matter. - Maximum number of specifications is 100. Can only be set if solution_types is SOLUTION_TYPE_SEARCH.
    "A String",
  ],
  "ignoreRecsDenylist": True or False, # When the flag is enabled, the products in the denylist will not be filtered out in the recommendation filtering results.
  "modelId": "A String", # The id of the model in the same Catalog to use at serving time. Currently only RecommendationModels are supported: https://cloud.google.com/retail/recommendations-ai/docs/create-models Can be changed but only to a compatible model (e.g. others-you-may-like CTR to others-you-may-like CVR). Required when solution_types is SOLUTION_TYPE_RECOMMENDATION.
  "name": "A String", # Immutable. Fully qualified name `projects/*/locations/global/catalogs/*/servingConfig/*`
  "onewaySynonymsControlIds": [ # Condition oneway synonyms specifications. If multiple oneway synonyms conditions match, all matching oneway synonyms controls in the list will execute. Order of controls in the list will not matter. Maximum number of specifications is 100. Can only be set if solution_types is SOLUTION_TYPE_SEARCH.
    "A String",
  ],
  "personalizationSpec": { # The specification for personalization. # The specification for personalization spec. Can only be set if solution_types is SOLUTION_TYPE_SEARCH. Notice that if both ServingConfig.personalization_spec and SearchRequest.personalization_spec are set. SearchRequest.personalization_spec will override ServingConfig.personalization_spec.
    "mode": "A String", # Defaults to Mode.AUTO.
  },
  "priceRerankingLevel": "A String", # How much price ranking we want in serving results. Price reranking causes product items with a similar recommendation probability to be ordered by price, with the highest-priced items first. This setting could result in a decrease in click-through and conversion rates. Allowed values are: * `no-price-reranking` * `low-price-reranking` * `medium-price-reranking` * `high-price-reranking` If not specified, we choose default based on model type. Default value: `no-price-reranking`. Can only be set if solution_types is SOLUTION_TYPE_RECOMMENDATION.
  "redirectControlIds": [ # Condition redirect specifications. Only the first triggered redirect action is applied, even if multiple apply. Maximum number of specifications is 1000. Can only be set if solution_types is SOLUTION_TYPE_SEARCH.
    "A String",
  ],
  "replacementControlIds": [ # Condition replacement specifications. - Applied according to the order in the list. - A previously replaced term can not be re-replaced. - Maximum number of specifications is 100. Can only be set if solution_types is SOLUTION_TYPE_SEARCH.
    "A String",
  ],
  "solutionTypes": [ # Required. Immutable. Specifies the solution types that a serving config can be associated with. Currently we support setting only one type of solution.
    "A String",
  ],
  "twowaySynonymsControlIds": [ # Condition synonyms specifications. If multiple syonyms conditions match, all matching synonyms control in the list will execute. Order of controls in the list will not matter. Maximum number of specifications is 100. Can only be set if solution_types is SOLUTION_TYPE_SEARCH.
    "A String",
  ],
}

list(parent, pageSize=None, pageToken=None, x__xgafv=None)

Lists all ServingConfigs linked to this catalog.

Args:
  parent: string, Required. The catalog resource name. Format: `projects/{project_number}/locations/{location_id}/catalogs/{catalog_id}` (required)
  pageSize: integer, Optional. Maximum number of results to return. If unspecified, defaults to 100. If a value greater than 100 is provided, at most 100 results are returned.
  pageToken: string, Optional. A page token, received from a previous `ListServingConfigs` call. Provide this to retrieve the subsequent page.
  x__xgafv: string, V1 error format.
    Allowed values
      1 - v1 error format
      2 - v2 error format

Returns:
  An object of the form:

    { # Response for ListServingConfigs method.
  "nextPageToken": "A String", # Pagination token, if not returned indicates the last page.
  "servingConfigs": [ # All the ServingConfigs for a given catalog.
    { # Configures metadata that is used to generate serving time results (e.g. search results or recommendation predictions).
      "boostControlIds": [ # Condition boost specifications. If a product matches multiple conditions in the specifications, boost scores from these specifications are all applied and combined in a non-linear way. Maximum number of specifications is 100. Notice that if both ServingConfig.boost_control_ids and SearchRequest.boost_spec are set, the boost conditions from both places are evaluated. If a search request matches multiple boost conditions, the final boost score is equal to the sum of the boost scores from all matched boost conditions. Can only be set if solution_types is SOLUTION_TYPE_SEARCH.
        "A String",
      ],
      "displayName": "A String", # Required. The human readable serving config display name. Used in Retail UI. This field must be a UTF-8 encoded string with a length limit of 128 characters. Otherwise, an INVALID_ARGUMENT error is returned.
      "diversityLevel": "A String", # How much diversity to use in recommendation model results e.g. `medium-diversity` or `high-diversity`. Currently supported values: * `no-diversity` * `low-diversity` * `medium-diversity` * `high-diversity` * `auto-diversity` If not specified, we choose default based on recommendation model type. Default value: `no-diversity`. Can only be set if solution_types is SOLUTION_TYPE_RECOMMENDATION.
      "diversityType": "A String", # What kind of diversity to use - data driven or rule based. If unset, the server behavior defaults to RULE_BASED_DIVERSITY.
      "doNotAssociateControlIds": [ # Condition do not associate specifications. If multiple do not associate conditions match, all matching do not associate controls in the list will execute. - Order does not matter. - Maximum number of specifications is 100. Can only be set if solution_types is SOLUTION_TYPE_SEARCH.
        "A String",
      ],
      "dynamicFacetSpec": { # The specifications of dynamically generated facets. # The specification for dynamically generated facets. Notice that only textual facets can be dynamically generated. Can only be set if solution_types is SOLUTION_TYPE_SEARCH.
        "mode": "A String", # Mode of the DynamicFacet feature. Defaults to Mode.DISABLED if it's unset.
      },
      "enableCategoryFilterLevel": "A String", # Whether to add additional category filters on the `similar-items` model. If not specified, we enable it by default. Allowed values are: * `no-category-match`: No additional filtering of original results from the model and the customer's filters. * `relaxed-category-match`: Only keep results with categories that match at least one item categories in the PredictRequests's context item. * If customer also sends filters in the PredictRequest, then the results will satisfy both conditions (user given and category match). Can only be set if solution_types is SOLUTION_TYPE_RECOMMENDATION.
      "facetControlIds": [ # Facet specifications for faceted search. If empty, no facets are returned. The ids refer to the ids of Control resources with only the Facet control set. These controls are assumed to be in the same Catalog as the ServingConfig. A maximum of 100 values are allowed. Otherwise, an INVALID_ARGUMENT error is returned. Can only be set if solution_types is SOLUTION_TYPE_SEARCH.
        "A String",
      ],
      "filterControlIds": [ # Condition filter specifications. If a product matches multiple conditions in the specifications, filters from these specifications are all applied and combined via the AND operator. Maximum number of specifications is 100. Can only be set if solution_types is SOLUTION_TYPE_SEARCH.
        "A String",
      ],
      "ignoreControlIds": [ # Condition ignore specifications. If multiple ignore conditions match, all matching ignore controls in the list will execute. - Order does not matter. - Maximum number of specifications is 100. Can only be set if solution_types is SOLUTION_TYPE_SEARCH.
        "A String",
      ],
      "ignoreRecsDenylist": True or False, # When the flag is enabled, the products in the denylist will not be filtered out in the recommendation filtering results.
      "modelId": "A String", # The id of the model in the same Catalog to use at serving time. Currently only RecommendationModels are supported: https://cloud.google.com/retail/recommendations-ai/docs/create-models Can be changed but only to a compatible model (e.g. others-you-may-like CTR to others-you-may-like CVR). Required when solution_types is SOLUTION_TYPE_RECOMMENDATION.
      "name": "A String", # Immutable. Fully qualified name `projects/*/locations/global/catalogs/*/servingConfig/*`
      "onewaySynonymsControlIds": [ # Condition oneway synonyms specifications. If multiple oneway synonyms conditions match, all matching oneway synonyms controls in the list will execute. Order of controls in the list will not matter. Maximum number of specifications is 100. Can only be set if solution_types is SOLUTION_TYPE_SEARCH.
        "A String",
      ],
      "personalizationSpec": { # The specification for personalization. # The specification for personalization spec. Can only be set if solution_types is SOLUTION_TYPE_SEARCH. Notice that if both ServingConfig.personalization_spec and SearchRequest.personalization_spec are set. SearchRequest.personalization_spec will override ServingConfig.personalization_spec.
        "mode": "A String", # Defaults to Mode.AUTO.
      },
      "priceRerankingLevel": "A String", # How much price ranking we want in serving results. Price reranking causes product items with a similar recommendation probability to be ordered by price, with the highest-priced items first. This setting could result in a decrease in click-through and conversion rates. Allowed values are: * `no-price-reranking` * `low-price-reranking` * `medium-price-reranking` * `high-price-reranking` If not specified, we choose default based on model type. Default value: `no-price-reranking`. Can only be set if solution_types is SOLUTION_TYPE_RECOMMENDATION.
      "redirectControlIds": [ # Condition redirect specifications. Only the first triggered redirect action is applied, even if multiple apply. Maximum number of specifications is 1000. Can only be set if solution_types is SOLUTION_TYPE_SEARCH.
        "A String",
      ],
      "replacementControlIds": [ # Condition replacement specifications. - Applied according to the order in the list. - A previously replaced term can not be re-replaced. - Maximum number of specifications is 100. Can only be set if solution_types is SOLUTION_TYPE_SEARCH.
        "A String",
      ],
      "solutionTypes": [ # Required. Immutable. Specifies the solution types that a serving config can be associated with. Currently we support setting only one type of solution.
        "A String",
      ],
      "twowaySynonymsControlIds": [ # Condition synonyms specifications. If multiple syonyms conditions match, all matching synonyms control in the list will execute. Order of controls in the list will not matter. Maximum number of specifications is 100. Can only be set if solution_types is SOLUTION_TYPE_SEARCH.
        "A String",
      ],
    },
  ],
}

list_next()

Retrieves the next page of results.

        Args:
          previous_request: The request for the previous page. (required)
          previous_response: The response from the request for the previous page. (required)

        Returns:
          A request object that you can call 'execute()' on to request the next
          page. Returns None if there are no more items in the collection.

patch(name, body=None, updateMask=None, x__xgafv=None)

Updates a ServingConfig.

Args:
name: string, Immutable. Fully qualified name `projects/*/locations/global/catalogs/*/servingConfig/*` (required)
body: object, The request body.
The object takes the form of:

{ # Configures metadata that is used to generate serving time results (e.g. search results or recommendation predictions).
"boostControlIds": [ # Condition boost specifications. If a product matches multiple conditions in the specifications, boost scores from these specifications are all applied and combined in a non-linear way. Maximum number of specifications is 100. Notice that if both ServingConfig.boost_control_ids and SearchRequest.boost_spec are set, the boost conditions from both places are evaluated. If a search request matches multiple boost conditions, the final boost score is equal to the sum of the boost scores from all matched boost conditions. Can only be set if solution_types is SOLUTION_TYPE_SEARCH.
"A String",
],
"displayName": "A String", # Required. The human readable serving config display name. Used in Retail UI. This field must be a UTF-8 encoded string with a length limit of 128 characters. Otherwise, an INVALID_ARGUMENT error is returned.
"diversityLevel": "A String", # How much diversity to use in recommendation model results e.g. `medium-diversity` or `high-diversity`. Currently supported values: * `no-diversity` * `low-diversity` * `medium-diversity` * `high-diversity` * `auto-diversity` If not specified, we choose default based on recommendation model type. Default value: `no-diversity`. Can only be set if solution_types is SOLUTION_TYPE_RECOMMENDATION.
"diversityType": "A String", # What kind of diversity to use - data driven or rule based. If unset, the server behavior defaults to RULE_BASED_DIVERSITY.
"doNotAssociateControlIds": [ # Condition do not associate specifications. If multiple do not associate conditions match, all matching do not associate controls in the list will execute. - Order does not matter. - Maximum number of specifications is 100. Can only be set if solution_types is SOLUTION_TYPE_SEARCH.
"A String",
],
"dynamicFacetSpec": { # The specifications of dynamically generated facets. # The specification for dynamically generated facets. Notice that only textual facets can be dynamically generated. Can only be set if solution_types is SOLUTION_TYPE_SEARCH.
"mode": "A String", # Mode of the DynamicFacet feature. Defaults to Mode.DISABLED if it's unset.
},
"enableCategoryFilterLevel": "A String", # Whether to add additional category filters on the `similar-items` model. If not specified, we enable it by default. Allowed values are: * `no-category-match`: No additional filtering of original results from the model and the customer's filters. * `relaxed-category-match`: Only keep results with categories that match at least one item categories in the PredictRequests's context item. * If customer also sends filters in the PredictRequest, then the results will satisfy both conditions (user given and category match). Can only be set if solution_types is SOLUTION_TYPE_RECOMMENDATION.
"facetControlIds": [ # Facet specifications for faceted search. If empty, no facets are returned. The ids refer to the ids of Control resources with only the Facet control set. These controls are assumed to be in the same Catalog as the ServingConfig. A maximum of 100 values are allowed. Otherwise, an INVALID_ARGUMENT error is returned. Can only be set if solution_types is SOLUTION_TYPE_SEARCH.
"A String",
],
"filterControlIds": [ # Condition filter specifications. If a product matches multiple conditions in the specifications, filters from these specifications are all applied and combined via the AND operator. Maximum number of specifications is 100. Can only be set if solution_types is SOLUTION_TYPE_SEARCH.
"A String",
],
"ignoreControlIds": [ # Condition ignore specifications. If multiple ignore conditions match, all matching ignore controls in the list will execute. - Order does not matter. - Maximum number of specifications is 100. Can only be set if solution_types is SOLUTION_TYPE_SEARCH.
"A String",
],
"ignoreRecsDenylist": True or False, # When the flag is enabled, the products in the denylist will not be filtered out in the recommendation filtering results.
"modelId": "A String", # The id of the model in the same Catalog to use at serving time. Currently only RecommendationModels are supported: https://cloud.google.com/retail/recommendations-ai/docs/create-models Can be changed but only to a compatible model (e.g. others-you-may-like CTR to others-you-may-like CVR). Required when solution_types is SOLUTION_TYPE_RECOMMENDATION.
"name": "A String", # Immutable. Fully qualified name `projects/*/locations/global/catalogs/*/servingConfig/*`
"onewaySynonymsControlIds": [ # Condition oneway synonyms specifications. If multiple oneway synonyms conditions match, all matching oneway synonyms controls in the list will execute. Order of controls in the list will not matter. Maximum number of specifications is 100. Can only be set if solution_types is SOLUTION_TYPE_SEARCH.
"A String",
],
"personalizationSpec": { # The specification for personalization. # The specification for personalization spec. Can only be set if solution_types is SOLUTION_TYPE_SEARCH. Notice that if both ServingConfig.personalization_spec and SearchRequest.personalization_spec are set. SearchRequest.personalization_spec will override ServingConfig.personalization_spec.
"mode": "A String", # Defaults to Mode.AUTO.
},
"priceRerankingLevel": "A String", # How much price ranking we want in serving results. Price reranking causes product items with a similar recommendation probability to be ordered by price, with the highest-priced items first. This setting could result in a decrease in click-through and conversion rates. Allowed values are: * `no-price-reranking` * `low-price-reranking` * `medium-price-reranking` * `high-price-reranking` If not specified, we choose default based on model type. Default value: `no-price-reranking`. Can only be set if solution_types is SOLUTION_TYPE_RECOMMENDATION.
"redirectControlIds": [ # Condition redirect specifications. Only the first triggered redirect action is applied, even if multiple apply. Maximum number of specifications is 1000. Can only be set if solution_types is SOLUTION_TYPE_SEARCH.
"A String",
],
"replacementControlIds": [ # Condition replacement specifications. - Applied according to the order in the list. - A previously replaced term can not be re-replaced. - Maximum number of specifications is 100. Can only be set if solution_types is SOLUTION_TYPE_SEARCH.
"A String",
],
"solutionTypes": [ # Required. Immutable. Specifies the solution types that a serving config can be associated with. Currently we support setting only one type of solution.
"A String",
],
"twowaySynonymsControlIds": [ # Condition synonyms specifications. If multiple syonyms conditions match, all matching synonyms control in the list will execute. Order of controls in the list will not matter. Maximum number of specifications is 100. Can only be set if solution_types is SOLUTION_TYPE_SEARCH.
"A String",
],
}

updateMask: string, Indicates which fields in the provided ServingConfig to update. The following are NOT supported: * ServingConfig.name If not set, all supported fields are updated.
x__xgafv: string, V1 error format.
Allowed values
1 - v1 error format
2 - v2 error format

Returns:
An object of the form:

{ # Configures metadata that is used to generate serving time results (e.g. search results or recommendation predictions).
"boostControlIds": [ # Condition boost specifications. If a product matches multiple conditions in the specifications, boost scores from these specifications are all applied and combined in a non-linear way. Maximum number of specifications is 100. Notice that if both ServingConfig.boost_control_ids and SearchRequest.boost_spec are set, the boost conditions from both places are evaluated. If a search request matches multiple boost conditions, the final boost score is equal to the sum of the boost scores from all matched boost conditions. Can only be set if solution_types is SOLUTION_TYPE_SEARCH.
"A String",
],
"displayName": "A String", # Required. The human readable serving config display name. Used in Retail UI. This field must be a UTF-8 encoded string with a length limit of 128 characters. Otherwise, an INVALID_ARGUMENT error is returned.
"diversityLevel": "A String", # How much diversity to use in recommendation model results e.g. `medium-diversity` or `high-diversity`. Currently supported values: * `no-diversity` * `low-diversity` * `medium-diversity` * `high-diversity` * `auto-diversity` If not specified, we choose default based on recommendation model type. Default value: `no-diversity`. Can only be set if solution_types is SOLUTION_TYPE_RECOMMENDATION.
"diversityType": "A String", # What kind of diversity to use - data driven or rule based. If unset, the server behavior defaults to RULE_BASED_DIVERSITY.
"doNotAssociateControlIds": [ # Condition do not associate specifications. If multiple do not associate conditions match, all matching do not associate controls in the list will execute. - Order does not matter. - Maximum number of specifications is 100. Can only be set if solution_types is SOLUTION_TYPE_SEARCH.
"A String",
],
"dynamicFacetSpec": { # The specifications of dynamically generated facets. # The specification for dynamically generated facets. Notice that only textual facets can be dynamically generated. Can only be set if solution_types is SOLUTION_TYPE_SEARCH.
"mode": "A String", # Mode of the DynamicFacet feature. Defaults to Mode.DISABLED if it's unset.
},
"enableCategoryFilterLevel": "A String", # Whether to add additional category filters on the `similar-items` model. If not specified, we enable it by default. Allowed values are: * `no-category-match`: No additional filtering of original results from the model and the customer's filters. * `relaxed-category-match`: Only keep results with categories that match at least one item categories in the PredictRequests's context item. * If customer also sends filters in the PredictRequest, then the results will satisfy both conditions (user given and category match). Can only be set if solution_types is SOLUTION_TYPE_RECOMMENDATION.
"facetControlIds": [ # Facet specifications for faceted search. If empty, no facets are returned. The ids refer to the ids of Control resources with only the Facet control set. These controls are assumed to be in the same Catalog as the ServingConfig. A maximum of 100 values are allowed. Otherwise, an INVALID_ARGUMENT error is returned. Can only be set if solution_types is SOLUTION_TYPE_SEARCH.
"A String",
],
"filterControlIds": [ # Condition filter specifications. If a product matches multiple conditions in the specifications, filters from these specifications are all applied and combined via the AND operator. Maximum number of specifications is 100. Can only be set if solution_types is SOLUTION_TYPE_SEARCH.
"A String",
],
"ignoreControlIds": [ # Condition ignore specifications. If multiple ignore conditions match, all matching ignore controls in the list will execute. - Order does not matter. - Maximum number of specifications is 100. Can only be set if solution_types is SOLUTION_TYPE_SEARCH.
"A String",
],
"ignoreRecsDenylist": True or False, # When the flag is enabled, the products in the denylist will not be filtered out in the recommendation filtering results.
"modelId": "A String", # The id of the model in the same Catalog to use at serving time. Currently only RecommendationModels are supported: https://cloud.google.com/retail/recommendations-ai/docs/create-models Can be changed but only to a compatible model (e.g. others-you-may-like CTR to others-you-may-like CVR). Required when solution_types is SOLUTION_TYPE_RECOMMENDATION.
"name": "A String", # Immutable. Fully qualified name `projects/*/locations/global/catalogs/*/servingConfig/*`
"onewaySynonymsControlIds": [ # Condition oneway synonyms specifications. If multiple oneway synonyms conditions match, all matching oneway synonyms controls in the list will execute. Order of controls in the list will not matter. Maximum number of specifications is 100. Can only be set if solution_types is SOLUTION_TYPE_SEARCH.
"A String",
],
"personalizationSpec": { # The specification for personalization. # The specification for personalization spec. Can only be set if solution_types is SOLUTION_TYPE_SEARCH. Notice that if both ServingConfig.personalization_spec and SearchRequest.personalization_spec are set. SearchRequest.personalization_spec will override ServingConfig.personalization_spec.
"mode": "A String", # Defaults to Mode.AUTO.
},
"priceRerankingLevel": "A String", # How much price ranking we want in serving results. Price reranking causes product items with a similar recommendation probability to be ordered by price, with the highest-priced items first. This setting could result in a decrease in click-through and conversion rates. Allowed values are: * `no-price-reranking` * `low-price-reranking` * `medium-price-reranking` * `high-price-reranking` If not specified, we choose default based on model type. Default value: `no-price-reranking`. Can only be set if solution_types is SOLUTION_TYPE_RECOMMENDATION.
"redirectControlIds": [ # Condition redirect specifications. Only the first triggered redirect action is applied, even if multiple apply. Maximum number of specifications is 1000. Can only be set if solution_types is SOLUTION_TYPE_SEARCH.
"A String",
],
"replacementControlIds": [ # Condition replacement specifications. - Applied according to the order in the list. - A previously replaced term can not be re-replaced. - Maximum number of specifications is 100. Can only be set if solution_types is SOLUTION_TYPE_SEARCH.
"A String",
],
"solutionTypes": [ # Required. Immutable. Specifies the solution types that a serving config can be associated with. Currently we support setting only one type of solution.
"A String",
],
"twowaySynonymsControlIds": [ # Condition synonyms specifications. If multiple syonyms conditions match, all matching synonyms control in the list will execute. Order of controls in the list will not matter. Maximum number of specifications is 100. Can only be set if solution_types is SOLUTION_TYPE_SEARCH.
"A String",
],
}

predict(placement, body=None, x__xgafv=None)

Makes a recommendation prediction.

Args:
placement: string, 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 (required)
body: object, The request body.
The object takes the form of:

{ # Request message for Predict method.
"filter": "A String", # 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).
"labels": { # 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.
"a_key": "A String",
},
"pageSize": 42, # 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.
"pageToken": "A String", # This field is not used; leave it unset.
"params": { # 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.
"a_key": "",
},
"userEvent": { # UserEvent captures all metadata information Retail API needs to know about how end users interact with customers' website. # 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 or 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 to a random unique ID and leave UserInfo.user_id unset.
"attributes": { # Extra user event features to include in the recommendation model. If you provide custom attributes for ingested user events, also include them in the user events that you associate with prediction requests. Custom attribute formatting must be consistent between imported events and events provided with prediction requests. This lets the Retail API use those custom attributes when training models and serving predictions, which helps improve recommendation quality. This field needs to pass all below criteria, otherwise an INVALID_ARGUMENT error is returned: * The key must be a UTF-8 encoded string with a length limit of 5,000 characters. * For text attributes, at most 400 values are allowed. Empty values are not allowed. Each value must be a UTF-8 encoded string with a length limit of 256 characters. * For number attributes, at most 400 values are allowed. For product recommendations, an example of extra user information is traffic_channel, which is how a user arrives at the site. Users can arrive at the site by coming to the site directly, coming through Google search, or in other ways.
"a_key": { # A custom attribute that is not explicitly modeled in Product.
"indexable": True or False, # This field is normally ignored unless AttributesConfig.attribute_config_level of the Catalog is set to the deprecated 'PRODUCT_LEVEL_ATTRIBUTE_CONFIG' mode. For information about product-level attribute configuration, see [Configuration modes](https://cloud.google.com/retail/docs/attribute-config#config-modes). If true, custom attribute values are indexed, so that they can be filtered, faceted or boosted in SearchService.Search. This field is ignored in a UserEvent. See SearchRequest.filter, SearchRequest.facet_specs and SearchRequest.boost_spec for more details.
"numbers": [ # The numerical values of this custom attribute. For example, `[2.3, 15.4]` when the key is "lengths_cm". Exactly one of text or numbers should be set. Otherwise, an INVALID_ARGUMENT error is returned.
3.14,
],
"searchable": True or False, # This field is normally ignored unless AttributesConfig.attribute_config_level of the Catalog is set to the deprecated 'PRODUCT_LEVEL_ATTRIBUTE_CONFIG' mode. For information about product-level attribute configuration, see [Configuration modes](https://cloud.google.com/retail/docs/attribute-config#config-modes). If true, custom attribute values are searchable by text queries in SearchService.Search. This field is ignored in a UserEvent. Only set if type text is set. Otherwise, a INVALID_ARGUMENT error is returned.
"text": [ # The textual values of this custom attribute. For example, `["yellow", "green"]` when the key is "color". Empty string is not allowed. Otherwise, an INVALID_ARGUMENT error is returned. Exactly one of text or numbers should be set. Otherwise, an INVALID_ARGUMENT error is returned.
"A String",
],
},
},
"attributionToken": "A String", # Highly recommended for user events that are the result of PredictionService.Predict. This field enables accurate attribution of recommendation model performance. The value must be a valid PredictResponse.attribution_token for user events that are the result of PredictionService.Predict. The value must be a valid SearchResponse.attribution_token for user events that are the result of SearchService.Search. This token enables us to accurately attribute page view or purchase back to the event and the particular predict response containing this clicked/purchased product. If user clicks on product K in the recommendation results, pass PredictResponse.attribution_token as a URL parameter to product K's page. When recording events on product K's page, log the PredictResponse.attribution_token to this field.
"cartId": "A String", # The ID or name of the associated shopping cart. This ID is used to associate multiple items added or present in the cart before purchase. This can only be set for `add-to-cart`, `purchase-complete`, or `shopping-cart-page-view` events.
"completionDetail": { # Detailed completion information including completion attribution token and clicked completion info. # The main auto-completion details related to the event. This field should be set for `search` event when autocomplete function is enabled and the user clicks a suggestion for search.
"completionAttributionToken": "A String", # Completion attribution token in CompleteQueryResponse.attribution_token.
"selectedPosition": 42, # End user selected CompleteQueryResponse.CompletionResult.suggestion position, starting from 0.
"selectedSuggestion": "A String", # End user selected CompleteQueryResponse.CompletionResult.suggestion.
},
"entity": "A String", # The entity for customers that may run multiple different entities, domains, sites or regions, for example, `Google US`, `Google Ads`, `Waymo`, `google.com`, `youtube.com`, etc. We recommend that you set this field to get better per-entity search, completion, and prediction results.
"eventTime": "A String", # Only required for UserEventService.ImportUserEvents method. Timestamp of when the user event happened.
"eventType": "A String", # Required. User event type. Allowed values are: * `add-to-cart`: Products being added to cart. * `remove-from-cart`: Products being removed from cart. * `category-page-view`: Special pages such as sale or promotion pages viewed. * `detail-page-view`: Products detail page viewed. * `home-page-view`: Homepage viewed. * `promotion-offered`: Promotion is offered to a user. * `promotion-not-offered`: Promotion is not offered to a user. * `purchase-complete`: User finishing a purchase. * `search`: Product search. * `shopping-cart-page-view`: User viewing a shopping cart.
"experimentIds": [ # A list of identifiers for the independent experiment groups this user event belongs to. This is used to distinguish between user events associated with different experiment setups (e.g. using Retail API, using different recommendation models).
"A String",
],
"filter": "A String", # The filter syntax consists of an expression language for constructing a predicate from one or more fields of the products being filtered. See SearchRequest.filter for definition and syntax. The value must be a UTF-8 encoded string with a length limit of 1,000 characters. Otherwise, an INVALID_ARGUMENT error is returned.
"offset": 42, # An integer that specifies the current offset for pagination (the 0-indexed starting location, amongst the products deemed by the API as relevant). See SearchRequest.offset for definition. If this field is negative, an INVALID_ARGUMENT is returned. This can only be set for `search` events. Other event types should not set this field. Otherwise, an INVALID_ARGUMENT error is returned.
"orderBy": "A String", # The order in which products are returned. See SearchRequest.order_by for definition and syntax. The value must be a UTF-8 encoded string with a length limit of 1,000 characters. Otherwise, an INVALID_ARGUMENT error is returned. This can only be set for `search` events. Other event types should not set this field. Otherwise, an INVALID_ARGUMENT error is returned.
"pageCategories": [ # The categories associated with a category page. To represent full path of category, use '>' sign to separate different hierarchies. If '>' is part of the category name, replace it with other character(s). Category pages include special pages such as sales or promotions. For instance, a special sale page may have the category hierarchy: "pageCategories" : ["Sales > 2017 Black Friday Deals"]. Required for `category-page-view` events. At least one of search_query or page_categories is required for `search` events. Other event types should not set this field. Otherwise, an INVALID_ARGUMENT error is returned.
"A String",
],
"pageViewId": "A String", # A unique ID of a web page view. This should be kept the same for all user events triggered from the same pageview. For example, an item detail page view could trigger multiple events as the user is browsing the page. The `pageViewId` property should be kept the same for all these events so that they can be grouped together properly. When using the client side event reporting with JavaScript pixel and Google Tag Manager, this value is filled in automatically.
"productDetails": [ # The main product details related to the event. This field is optional except for the following event types: * `add-to-cart` * `detail-page-view` * `purchase-complete` In a `search` event, this field represents the products returned to the end user on the current page (the end user may have not finished browsing the whole page yet). When a new page is returned to the end user, after pagination/filtering/ordering even for the same query, a new `search` event with different product_details is desired. The end user may have not finished browsing the whole page yet.
{ # Detailed product information associated with a user event.
"product": { # Product captures all metadata information of items to be recommended or searched. # Required. Product information. Required field(s): * Product.id Optional override field(s): * Product.price_info If any supported optional fields are provided, we will treat them as a full override when looking up product information from the catalog. Thus, it is important to ensure that the overriding fields are accurate and complete. All other product fields are ignored and instead populated via catalog lookup after event ingestion.
"attributes": { # Highly encouraged. Extra product attributes to be included. For example, for products, this could include the store name, vendor, style, color, etc. These are very strong signals for recommendation model, thus we highly recommend providing the attributes here. Features that can take on one of a limited number of possible values. Two types of features can be set are: Textual features. some examples would be the brand/maker of a product, or country of a customer. Numerical features. Some examples would be the height/weight of a product, or age of a customer. For example: `{ "vendor": {"text": ["vendor123", "vendor456"]}, "lengths_cm": {"numbers":[2.3, 15.4]}, "heights_cm": {"numbers":[8.1, 6.4]} }`. This field needs to pass all below criteria, otherwise an INVALID_ARGUMENT error is returned: * Max entries count: 200. * The key must be a UTF-8 encoded string with a length limit of 128 characters. * For indexable attribute, the key must match the pattern: `a-zA-Z0-9*`. For example, `key0LikeThis` or `KEY_1_LIKE_THIS`. * For text attributes, at most 400 values are allowed. Empty values are not allowed. Each value must be a non-empty UTF-8 encoded string with a length limit of 256 characters. * For number attributes, at most 400 values are allowed.
"a_key": { # A custom attribute that is not explicitly modeled in Product.
"indexable": True or False, # This field is normally ignored unless AttributesConfig.attribute_config_level of the Catalog is set to the deprecated 'PRODUCT_LEVEL_ATTRIBUTE_CONFIG' mode. For information about product-level attribute configuration, see [Configuration modes](https://cloud.google.com/retail/docs/attribute-config#config-modes). If true, custom attribute values are indexed, so that they can be filtered, faceted or boosted in SearchService.Search. This field is ignored in a UserEvent. See SearchRequest.filter, SearchRequest.facet_specs and SearchRequest.boost_spec for more details.
"numbers": [ # The numerical values of this custom attribute. For example, `[2.3, 15.4]` when the key is "lengths_cm". Exactly one of text or numbers should be set. Otherwise, an INVALID_ARGUMENT error is returned.
3.14,
],
"searchable": True or False, # This field is normally ignored unless AttributesConfig.attribute_config_level of the Catalog is set to the deprecated 'PRODUCT_LEVEL_ATTRIBUTE_CONFIG' mode. For information about product-level attribute configuration, see [Configuration modes](https://cloud.google.com/retail/docs/attribute-config#config-modes). If true, custom attribute values are searchable by text queries in SearchService.Search. This field is ignored in a UserEvent. Only set if type text is set. Otherwise, a INVALID_ARGUMENT error is returned.
"text": [ # The textual values of this custom attribute. For example, `["yellow", "green"]` when the key is "color". Empty string is not allowed. Otherwise, an INVALID_ARGUMENT error is returned. Exactly one of text or numbers should be set. Otherwise, an INVALID_ARGUMENT error is returned.
"A String",
],
},
},
"audience": { # An intended audience of the Product for whom it's sold. # The target group associated with a given audience (e.g. male, veterans, car owners, musicians, etc.) of the product.
"ageGroups": [ # The age groups of the audience. Strongly encouraged to use the standard values: "newborn" (up to 3 months old), "infant" (3–12 months old), "toddler" (1–5 years old), "kids" (5–13 years old), "adult" (typically teens or older). At most 5 values are allowed. Each value must be a UTF-8 encoded string with a length limit of 128 characters. Otherwise, an INVALID_ARGUMENT error is returned. Google Merchant Center property [age_group](https://support.google.com/merchants/answer/6324463). Schema.org property [Product.audience.suggestedMinAge](https://schema.org/suggestedMinAge) and [Product.audience.suggestedMaxAge](https://schema.org/suggestedMaxAge).
"A String",
],
"genders": [ # The genders of the audience. Strongly encouraged to use the standard values: "male", "female", "unisex". At most 5 values are allowed. Each value must be a UTF-8 encoded string with a length limit of 128 characters. Otherwise, an INVALID_ARGUMENT error is returned. Google Merchant Center property [gender](https://support.google.com/merchants/answer/6324479). Schema.org property [Product.audience.suggestedGender](https://schema.org/suggestedGender).
"A String",
],
},
"availability": "A String", # The online availability of the Product. Default to Availability.IN_STOCK. For primary products with variants set the availability of the primary as Availability.OUT_OF_STOCK and set the true availability at the variant level. This way the primary product will be considered "in stock" as long as it has at least one variant in stock. For primary products with no variants set the true availability at the primary level. Corresponding properties: Google Merchant Center property [availability](https://support.google.com/merchants/answer/6324448). Schema.org property [Offer.availability](https://schema.org/availability).
"availableQuantity": 42, # The available quantity of the item.
"availableTime": "A String", # The timestamp when this Product becomes available for SearchService.Search. Note that this is only applicable to Type.PRIMARY and Type.COLLECTION, and ignored for Type.VARIANT.
"brands": [ # The brands of the product. A maximum of 30 brands are allowed unless overridden through the Google Cloud console. Each brand must be a UTF-8 encoded string with a length limit of 1,000 characters. Otherwise, an INVALID_ARGUMENT error is returned. Corresponding properties: Google Merchant Center property [brand](https://support.google.com/merchants/answer/6324351). Schema.org property [Product.brand](https://schema.org/brand).
"A String",
],
"categories": [ # Product categories. This field is repeated for supporting one product belonging to several parallel categories. Strongly recommended using the full path for better search / recommendation quality. To represent full path of category, use '>' sign to separate different hierarchies. If '>' is part of the category name, replace it with other character(s). For example, if a shoes product belongs to both ["Shoes & Accessories" -> "Shoes"] and ["Sports & Fitness" -> "Athletic Clothing" -> "Shoes"], it could be represented as: "categories": [ "Shoes & Accessories > Shoes", "Sports & Fitness > Athletic Clothing > Shoes" ] Must be set for Type.PRIMARY Product otherwise an INVALID_ARGUMENT error is returned. At most 250 values are allowed per Product unless overridden through the Google Cloud console. Empty values are not allowed. Each value must be a UTF-8 encoded string with a length limit of 5,000 characters. Otherwise, an INVALID_ARGUMENT error is returned. Corresponding properties: Google Merchant Center property google_product_category. Schema.org property [Product.category] (https://schema.org/category). [mc_google_product_category]: https://support.google.com/merchants/answer/6324436
"A String",
],
"collectionMemberIds": [ # The id of the collection members when type is Type.COLLECTION. Non-existent product ids are allowed. The type of the members must be either Type.PRIMARY or Type.VARIANT otherwise an INVALID_ARGUMENT error is thrown. Should not set it for other types. A maximum of 1000 values are allowed. Otherwise, an INVALID_ARGUMENT error is return.
"A String",
],
"colorInfo": { # The color information of a Product. # The color of the product. Corresponding properties: Google Merchant Center property [color](https://support.google.com/merchants/answer/6324487). Schema.org property [Product.color](https://schema.org/color).
"colorFamilies": [ # The standard color families. Strongly recommended to use the following standard color groups: "Red", "Pink", "Orange", "Yellow", "Purple", "Green", "Cyan", "Blue", "Brown", "White", "Gray", "Black" and "Mixed". Normally it is expected to have only 1 color family. May consider using single "Mixed" instead of multiple values. A maximum of 5 values are allowed. Each value must be a UTF-8 encoded string with a length limit of 128 characters. Otherwise, an INVALID_ARGUMENT error is returned. Google Merchant Center property [color](https://support.google.com/merchants/answer/6324487). Schema.org property [Product.color](https://schema.org/color).
"A String",
],
"colors": [ # The color display names, which may be different from standard color family names, such as the color aliases used in the website frontend. Normally it is expected to have only 1 color. May consider using single "Mixed" instead of multiple values. A maximum of 75 colors are allowed. Each value must be a UTF-8 encoded string with a length limit of 128 characters. Otherwise, an INVALID_ARGUMENT error is returned. Google Merchant Center property [color](https://support.google.com/merchants/answer/6324487). Schema.org property [Product.color](https://schema.org/color).
"A String",
],
},
"conditions": [ # The condition of the product. Strongly encouraged to use the standard values: "new", "refurbished", "used". A maximum of 1 value is allowed per Product. Each value must be a UTF-8 encoded string with a length limit of 128 characters. Otherwise, an INVALID_ARGUMENT error is returned. Corresponding properties: Google Merchant Center property [condition](https://support.google.com/merchants/answer/6324469). Schema.org property [Offer.itemCondition](https://schema.org/itemCondition).
"A String",
],
"description": "A String", # Product description. This field must be a UTF-8 encoded string with a length limit of 5,000 characters. Otherwise, an INVALID_ARGUMENT error is returned. Corresponding properties: Google Merchant Center property [description](https://support.google.com/merchants/answer/6324468). Schema.org property [Product.description](https://schema.org/description).
"expireTime": "A String", # Note that this field is applied in the following ways: * If the Product is already expired when it is uploaded, this product is not indexed for search. * If the Product is not expired when it is uploaded, only the Type.PRIMARY's and Type.COLLECTION's expireTime is respected, and Type.VARIANT's expireTime is not used. In general, we suggest the users to delete the stale products explicitly, instead of using this field to determine staleness. expire_time must be later than available_time and publish_time, otherwise an INVALID_ARGUMENT error is thrown. Corresponding properties: Google Merchant Center property [expiration_date](https://support.google.com/merchants/answer/6324499).
"fulfillmentInfo": [ # Fulfillment information, such as the store IDs for in-store pickup or region IDs for different shipping methods. All the elements must have distinct FulfillmentInfo.type. Otherwise, an INVALID_ARGUMENT error is returned.
{ # Fulfillment information, such as the store IDs for in-store pickup or region IDs for different shipping methods.
"placeIds": [ # The IDs for this type, such as the store IDs for FulfillmentInfo.type.pickup-in-store or the region IDs for FulfillmentInfo.type.same-day-delivery. A maximum of 3000 values are allowed. Each value must be a string with a length limit of 30 characters, matching the pattern `[a-zA-Z0-9_-]+`, such as "store1" or "REGION-2". Otherwise, an INVALID_ARGUMENT error is returned.
"A String",
],
"type": "A String", # The fulfillment type, including commonly used types (such as pickup in store and same day delivery), and custom types. Customers have to map custom types to their display names before rendering UI. Supported values: * "pickup-in-store" * "ship-to-store" * "same-day-delivery" * "next-day-delivery" * "custom-type-1" * "custom-type-2" * "custom-type-3" * "custom-type-4" * "custom-type-5" If this field is set to an invalid value other than these, an INVALID_ARGUMENT error is returned.
},
],
"gtin": "A String", # The Global Trade Item Number (GTIN) of the product. This field must be a UTF-8 encoded string with a length limit of 128 characters. Otherwise, an INVALID_ARGUMENT error is returned. This field must be a Unigram. Otherwise, an INVALID_ARGUMENT error is returned. Corresponding properties: Google Merchant Center property [gtin](https://support.google.com/merchants/answer/6324461). Schema.org property [Product.isbn](https://schema.org/isbn), [Product.gtin8](https://schema.org/gtin8), [Product.gtin12](https://schema.org/gtin12), [Product.gtin13](https://schema.org/gtin13), or [Product.gtin14](https://schema.org/gtin14). If the value is not a valid GTIN, an INVALID_ARGUMENT error is returned.
"id": "A String", # Immutable. Product identifier, which is the final component of name. For example, this field is "id_1", if name is `projects/*/locations/global/catalogs/default_catalog/branches/default_branch/products/id_1`. This field must be a UTF-8 encoded string with a length limit of 128 characters. Otherwise, an INVALID_ARGUMENT error is returned. Corresponding properties: Google Merchant Center property [id](https://support.google.com/merchants/answer/6324405). Schema.org property [Product.sku](https://schema.org/sku).
"images": [ # Product images for the product. We highly recommend putting the main image first. A maximum of 300 images are allowed. Corresponding properties: Google Merchant Center property [image_link](https://support.google.com/merchants/answer/6324350). Schema.org property [Product.image](https://schema.org/image).
{ # Product image. Recommendations AI and Retail Search use product images to improve prediction and search results. Product images can be returned in results, and are shown in prediction or search previews in the console. Please try to provide correct product images and avoid using images with size too small.
"height": 42, # Height of the image in number of pixels. This field must be nonnegative. Otherwise, an INVALID_ARGUMENT error is returned.
"uri": "A String", # Required. URI of the image. This field must be a valid UTF-8 encoded URI with a length limit of 5,000 characters. Otherwise, an INVALID_ARGUMENT error is returned. Google Merchant Center property [image_link](https://support.google.com/merchants/answer/6324350). Schema.org property [Product.image](https://schema.org/image).
"width": 42, # Width of the image in number of pixels. This field must be nonnegative. Otherwise, an INVALID_ARGUMENT error is returned.
},
],
"languageCode": "A String", # Language of the title/description and other string attributes. Use language tags defined by [BCP 47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt). For product prediction, this field is ignored and the model automatically detects the text language. The Product can include text in different languages, but duplicating Products to provide text in multiple languages can result in degraded model performance. For product search this field is in use. It defaults to "en-US" if unset.
"localInventories": [ # Output only. A list of local inventories specific to different places. This field can be managed by ProductService.AddLocalInventories and ProductService.RemoveLocalInventories APIs if fine-grained, high-volume updates are necessary.
{ # The inventory information at a place (e.g. a store) identified by a place ID.
"attributes": { # Optional. Additional local inventory attributes, for example, store name, promotion tags, etc. This field needs to pass all below criteria, otherwise an INVALID_ARGUMENT error is returned: * At most 30 attributes are allowed. * The key must be a UTF-8 encoded string with a length limit of 32 characters. * The key must match the pattern: `a-zA-Z0-9*`. For example, key0LikeThis or KEY_1_LIKE_THIS. * The attribute values must be of the same type (text or number). * Only 1 value is allowed for each attribute. * For text values, the length limit is 256 UTF-8 characters. * The attribute does not support search. The `searchable` field should be unset or set to false. * The max summed total bytes of custom attribute keys and values per product is 5MiB.
"a_key": { # A custom attribute that is not explicitly modeled in Product.
"indexable": True or False, # This field is normally ignored unless AttributesConfig.attribute_config_level of the Catalog is set to the deprecated 'PRODUCT_LEVEL_ATTRIBUTE_CONFIG' mode. For information about product-level attribute configuration, see [Configuration modes](https://cloud.google.com/retail/docs/attribute-config#config-modes). If true, custom attribute values are indexed, so that they can be filtered, faceted or boosted in SearchService.Search. This field is ignored in a UserEvent. See SearchRequest.filter, SearchRequest.facet_specs and SearchRequest.boost_spec for more details.
"numbers": [ # The numerical values of this custom attribute. For example, `[2.3, 15.4]` when the key is "lengths_cm". Exactly one of text or numbers should be set. Otherwise, an INVALID_ARGUMENT error is returned.
3.14,
],
"searchable": True or False, # This field is normally ignored unless AttributesConfig.attribute_config_level of the Catalog is set to the deprecated 'PRODUCT_LEVEL_ATTRIBUTE_CONFIG' mode. For information about product-level attribute configuration, see [Configuration modes](https://cloud.google.com/retail/docs/attribute-config#config-modes). If true, custom attribute values are searchable by text queries in SearchService.Search. This field is ignored in a UserEvent. Only set if type text is set. Otherwise, a INVALID_ARGUMENT error is returned.
"text": [ # The textual values of this custom attribute. For example, `["yellow", "green"]` when the key is "color". Empty string is not allowed. Otherwise, an INVALID_ARGUMENT error is returned. Exactly one of text or numbers should be set. Otherwise, an INVALID_ARGUMENT error is returned.
"A String",
],
},
},
"availability": "A String", # Optional. The availability of the Product at this place_id. Default to Availability.IN_STOCK. For primary products with variants set the availability of the primary as Availability.OUT_OF_STOCK and set the true availability at the variant level. This way the primary product will be considered "in stock" as long as it has at least one variant in stock. For primary products with no variants set the true availability at the primary level. Corresponding properties: Google Merchant Center property [availability](https://support.google.com/merchants/answer/6324448). Schema.org property [Offer.availability](https://schema.org/availability).
"fulfillmentTypes": [ # Optional. Supported fulfillment types. Valid fulfillment type values include commonly used types (such as pickup in store and same day delivery), and custom types. Customers have to map custom types to their display names before rendering UI. Supported values: * "pickup-in-store" * "ship-to-store" * "same-day-delivery" * "next-day-delivery" * "custom-type-1" * "custom-type-2" * "custom-type-3" * "custom-type-4" * "custom-type-5" If this field is set to an invalid value other than these, an INVALID_ARGUMENT error is returned. All the elements must be distinct. Otherwise, an INVALID_ARGUMENT error is returned.
"A String",
],
"placeId": "A String", # Required. The place ID for the current set of inventory information.
"priceInfo": { # The price information of a Product. # Optional. Product price and cost information. Google Merchant Center property [price](https://support.google.com/merchants/answer/6324371).
"cost": 3.14, # The costs associated with the sale of a particular product. Used for gross profit reporting. * Profit = price - cost Google Merchant Center property [cost_of_goods_sold](https://support.google.com/merchants/answer/9017895).
"currencyCode": "A String", # The 3-letter currency code defined in [ISO 4217](https://www.iso.org/iso-4217-currency-codes.html). If this field is an unrecognizable currency code, an INVALID_ARGUMENT error is returned. The Product.Type.VARIANT Products with the same Product.primary_product_id must share the same currency_code. Otherwise, a FAILED_PRECONDITION error is returned.
"originalPrice": 3.14, # Price of the product without any discount. If zero, by default set to be the price. If set, original_price should be greater than or equal to price, otherwise an INVALID_ARGUMENT error is thrown.
"price": 3.14, # Price of the product. Google Merchant Center property [price](https://support.google.com/merchants/answer/6324371). Schema.org property [Offer.price](https://schema.org/price).
"priceEffectiveTime": "A String", # The timestamp when the price starts to be effective. This can be set as a future timestamp, and the price is only used for search after price_effective_time. If so, the original_price must be set and original_price is used before price_effective_time. Do not set if price is always effective because it will cause additional latency during search.
"priceExpireTime": "A String", # The timestamp when the price stops to be effective. The price is used for search before price_expire_time. If this field is set, the original_price must be set and original_price is used after price_expire_time. Do not set if price is always effective because it will cause additional latency during search.
"priceRange": { # The price range of all variant Product having the same Product.primary_product_id. # Output only. The price range of all the child Product.Type.VARIANT Products grouped together on the Product.Type.PRIMARY Product. Only populated for Product.Type.PRIMARY Products. Note: This field is OUTPUT_ONLY for ProductService.GetProduct. Do not set this field in API requests.
"originalPrice": { # A floating point interval. # The inclusive Product.pricing_info.original_price internal of all variant Product having the same Product.primary_product_id.
"exclusiveMaximum": 3.14, # Exclusive upper bound.
"exclusiveMinimum": 3.14, # Exclusive lower bound.
"maximum": 3.14, # Inclusive upper bound.
"minimum": 3.14, # Inclusive lower bound.
},
"price": { # A floating point interval. # The inclusive Product.pricing_info.price interval of all variant Product having the same Product.primary_product_id.
"exclusiveMaximum": 3.14, # Exclusive upper bound.
"exclusiveMinimum": 3.14, # Exclusive lower bound.
"maximum": 3.14, # Inclusive upper bound.
"minimum": 3.14, # Inclusive lower bound.
},
},
},
},
],
"materials": [ # The material of the product. For example, "leather", "wooden". A maximum of 20 values are allowed. Each value must be a UTF-8 encoded string with a length limit of 200 characters. Otherwise, an INVALID_ARGUMENT error is returned. Corresponding properties: Google Merchant Center property [material](https://support.google.com/merchants/answer/6324410). Schema.org property [Product.material](https://schema.org/material).
"A String",
],
"name": "A String", # Immutable. Full resource name of the product, such as `projects/*/locations/global/catalogs/default_catalog/branches/default_branch/products/product_id`.
"patterns": [ # The pattern or graphic print of the product. For example, "striped", "polka dot", "paisley". A maximum of 20 values are allowed per Product. Each value must be a UTF-8 encoded string with a length limit of 128 characters. Otherwise, an INVALID_ARGUMENT error is returned. Corresponding properties: Google Merchant Center property [pattern](https://support.google.com/merchants/answer/6324483). Schema.org property [Product.pattern](https://schema.org/pattern).
"A String",
],
"priceInfo": { # The price information of a Product. # Product price and cost information. Corresponding properties: Google Merchant Center property [price](https://support.google.com/merchants/answer/6324371).
"cost": 3.14, # The costs associated with the sale of a particular product. Used for gross profit reporting. * Profit = price - cost Google Merchant Center property [cost_of_goods_sold](https://support.google.com/merchants/answer/9017895).
"currencyCode": "A String", # The 3-letter currency code defined in [ISO 4217](https://www.iso.org/iso-4217-currency-codes.html). If this field is an unrecognizable currency code, an INVALID_ARGUMENT error is returned. The Product.Type.VARIANT Products with the same Product.primary_product_id must share the same currency_code. Otherwise, a FAILED_PRECONDITION error is returned.
"originalPrice": 3.14, # Price of the product without any discount. If zero, by default set to be the price. If set, original_price should be greater than or equal to price, otherwise an INVALID_ARGUMENT error is thrown.
"price": 3.14, # Price of the product. Google Merchant Center property [price](https://support.google.com/merchants/answer/6324371). Schema.org property [Offer.price](https://schema.org/price).
"priceEffectiveTime": "A String", # The timestamp when the price starts to be effective. This can be set as a future timestamp, and the price is only used for search after price_effective_time. If so, the original_price must be set and original_price is used before price_effective_time. Do not set if price is always effective because it will cause additional latency during search.
"priceExpireTime": "A String", # The timestamp when the price stops to be effective. The price is used for search before price_expire_time. If this field is set, the original_price must be set and original_price is used after price_expire_time. Do not set if price is always effective because it will cause additional latency during search.
"priceRange": { # The price range of all variant Product having the same Product.primary_product_id. # Output only. The price range of all the child Product.Type.VARIANT Products grouped together on the Product.Type.PRIMARY Product. Only populated for Product.Type.PRIMARY Products. Note: This field is OUTPUT_ONLY for ProductService.GetProduct. Do not set this field in API requests.
"originalPrice": { # A floating point interval. # The inclusive Product.pricing_info.original_price internal of all variant Product having the same Product.primary_product_id.
"exclusiveMaximum": 3.14, # Exclusive upper bound.
"exclusiveMinimum": 3.14, # Exclusive lower bound.
"maximum": 3.14, # Inclusive upper bound.
"minimum": 3.14, # Inclusive lower bound.
},
"price": { # A floating point interval. # The inclusive Product.pricing_info.price interval of all variant Product having the same Product.primary_product_id.
"exclusiveMaximum": 3.14, # Exclusive upper bound.
"exclusiveMinimum": 3.14, # Exclusive lower bound.
"maximum": 3.14, # Inclusive upper bound.
"minimum": 3.14, # Inclusive lower bound.
},
},
},
"primaryProductId": "A String", # Variant group identifier. Must be an id, with the same parent branch with this product. Otherwise, an error is thrown. For Type.PRIMARY Products, this field can only be empty or set to the same value as id. For VARIANT Products, this field cannot be empty. A maximum of 2,000 products are allowed to share the same Type.PRIMARY Product. Otherwise, an INVALID_ARGUMENT error is returned. Corresponding properties: Google Merchant Center property [item_group_id](https://support.google.com/merchants/answer/6324507). Schema.org property [Product.inProductGroupWithID](https://schema.org/inProductGroupWithID).
"promotions": [ # The promotions applied to the product. A maximum of 10 values are allowed per Product. Only Promotion.promotion_id will be used, other fields will be ignored if set.
{ # Promotion specification.
"promotionId": "A String", # Promotion identifier, which is the final component of name. For example, this field is "free_gift", if name is `projects/*/locations/global/catalogs/default_catalog/promotions/free_gift`. The value must be a UTF-8 encoded string with a length limit of 128 characters, and match the pattern: `a-zA-Z*`. For example, id0LikeThis or ID_1_LIKE_THIS. Otherwise, an INVALID_ARGUMENT error is returned. Corresponds to Google Merchant Center property [promotion_id](https://support.google.com/merchants/answer/7050148).
},
],
"publishTime": "A String", # The timestamp when the product is published by the retailer for the first time, which indicates the freshness of the products. Note that this field is different from available_time, given it purely describes product freshness regardless of when it is available on search and recommendation.
"rating": { # The rating of a Product. # The rating of this product.
"averageRating": 3.14, # The average rating of the Product. The rating is scaled at 1-5. Otherwise, an INVALID_ARGUMENT error is returned.
"ratingCount": 42, # The total number of ratings. This value is independent of the value of rating_histogram. This value must be nonnegative. Otherwise, an INVALID_ARGUMENT error is returned.
"ratingHistogram": [ # List of rating counts per rating value (index = rating - 1). The list is empty if there is no rating. If the list is non-empty, its size is always 5. Otherwise, an INVALID_ARGUMENT error is returned. For example, [41, 14, 13, 47, 303]. It means that the Product got 41 ratings with 1 star, 14 ratings with 2 star, and so on.
42,
],
},
"retrievableFields": "A String", # Indicates which fields in the Products are returned in SearchResponse. Supported fields for all types: * audience * availability * brands * color_info * conditions * gtin * materials * name * patterns * price_info * rating * sizes * title * uri Supported fields only for Type.PRIMARY and Type.COLLECTION: * categories * description * images Supported fields only for Type.VARIANT: * Only the first image in images To mark attributes as retrievable, include paths of the form "attributes.key" where "key" is the key of a custom attribute, as specified in attributes. For Type.PRIMARY and Type.COLLECTION, the following fields are always returned in SearchResponse by default: * name For Type.VARIANT, the following fields are always returned in by default: * name * color_info Note: Returning more fields in SearchResponse can increase response payload size and serving latency. This field is deprecated. Use the retrievable site-wide control instead.
"sizes": [ # The size of the product. To represent different size systems or size types, consider using this format: [[[size_system:]size_type:]size_value]. For example, in "US:MENS:M", "US" represents size system; "MENS" represents size type; "M" represents size value. In "GIRLS:27", size system is empty; "GIRLS" represents size type; "27" represents size value. In "32 inches", both size system and size type are empty, while size value is "32 inches". A maximum of 20 values are allowed per Product. Each value must be a UTF-8 encoded string with a length limit of 128 characters. Otherwise, an INVALID_ARGUMENT error is returned. Corresponding properties: Google Merchant Center property [size](https://support.google.com/merchants/answer/6324492), [size_type](https://support.google.com/merchants/answer/6324497), and [size_system](https://support.google.com/merchants/answer/6324502). Schema.org property [Product.size](https://schema.org/size).
"A String",
],
"tags": [ # Custom tags associated with the product. At most 250 values are allowed per Product. This value must be a UTF-8 encoded string with a length limit of 1,000 characters. Otherwise, an INVALID_ARGUMENT error is returned. This tag can be used for filtering recommendation results by passing the tag as part of the PredictRequest.filter. Corresponding properties: Google Merchant Center property [custom_label_0–4](https://support.google.com/merchants/answer/6324473).
"A String",
],
"title": "A String", # Required. Product title. This field must be a UTF-8 encoded string with a length limit of 1,000 characters. Otherwise, an INVALID_ARGUMENT error is returned. Corresponding properties: Google Merchant Center property [title](https://support.google.com/merchants/answer/6324415). Schema.org property [Product.name](https://schema.org/name).
"ttl": "A String", # Input only. The TTL (time to live) of the product. Note that this is only applicable to Type.PRIMARY and Type.COLLECTION, and ignored for Type.VARIANT. In general, we suggest the users to delete the stale products explicitly, instead of using this field to determine staleness. If it is set, it must be a non-negative value, and expire_time is set as current timestamp plus ttl. The derived expire_time is returned in the output and ttl is left blank when retrieving the Product. If it is set, the product is not available for SearchService.Search after current timestamp plus ttl. However, the product can still be retrieved by ProductService.GetProduct and ProductService.ListProducts.
"type": "A String", # Immutable. The type of the product. Default to Catalog.product_level_config.ingestion_product_type if unset.
"uri": "A String", # Canonical URL directly linking to the product detail page. It is strongly recommended to provide a valid uri for the product, otherwise the service performance could be significantly degraded. This field must be a UTF-8 encoded string with a length limit of 5,000 characters. Otherwise, an INVALID_ARGUMENT error is returned. Corresponding properties: Google Merchant Center property [link](https://support.google.com/merchants/answer/6324416). Schema.org property [Offer.url](https://schema.org/url).
"variants": [ # Output only. Product variants grouped together on primary product which share similar product attributes. It's automatically grouped by primary_product_id for all the product variants. Only populated for Type.PRIMARY Products. Note: This field is OUTPUT_ONLY for ProductService.GetProduct. Do not set this field in API requests.
# Object with schema name: GoogleCloudRetailV2Product
],
},
"quantity": 42, # Quantity of the product associated with the user event. For example, this field will be 2 if two products are added to the shopping cart for `purchase-complete` event. Required for `add-to-cart` and `purchase-complete` event types.
},
],
"purchaseTransaction": { # A transaction represents the entire purchase transaction. # A transaction represents the entire purchase transaction. Required for `purchase-complete` events. Other event types should not set this field. Otherwise, an INVALID_ARGUMENT error is returned.
"cost": 3.14, # All the costs associated with the products. These can be manufacturing costs, shipping expenses not borne by the end user, or any other costs, such that: * Profit = revenue - tax - cost
"currencyCode": "A String", # Required. Currency code. Use three-character ISO-4217 code.
"id": "A String", # The transaction ID with a length limit of 128 characters.
"revenue": 3.14, # Required. Total non-zero revenue or grand total associated with the transaction. This value include shipping, tax, or other adjustments to total revenue that you want to include as part of your revenue calculations.
"tax": 3.14, # All the taxes associated with the transaction.
},
"referrerUri": "A String", # The referrer URL of the current page. When using the client side event reporting with JavaScript pixel and Google Tag Manager, this value is filled in automatically.
"searchQuery": "A String", # The user's search query. See SearchRequest.query for definition. The value must be a UTF-8 encoded string with a length limit of 5,000 characters. Otherwise, an INVALID_ARGUMENT error is returned. At least one of search_query or page_categories is required for `search` events. Other event types should not set this field. Otherwise, an INVALID_ARGUMENT error is returned.
"sessionId": "A String", # A unique identifier for tracking a visitor session with a length limit of 128 bytes. A session is an aggregation of an end user behavior in a time span. A general guideline to populate the sesion_id: 1. If user has no activity for 30 min, a new session_id should be assigned. 2. The session_id should be unique across users, suggest use uuid or add visitor_id as prefix.
"uri": "A String", # Complete URL (window.location.href) of the user's current page. When using the client side event reporting with JavaScript pixel and Google Tag Manager, this value is filled in automatically. Maximum length 5,000 characters.
"userInfo": { # Information of an end user. # User information.
"directUserRequest": True or False, # True if the request is made directly from the end user, in which case the ip_address and user_agent can be populated from the HTTP request. This flag should be set only if the API request is made directly from the end user such as a mobile app (and not if a gateway or a server is processing and pushing the user events). This should not be set when using the JavaScript tag in UserEventService.CollectUserEvent.
"ipAddress": "A String", # The end user's IP address. This field is used to extract location information for personalization. This field must be either an IPv4 address (e.g. "104.133.9.80") or an IPv6 address (e.g. "2001:0db8:85a3:0000:0000:8a2e:0370:7334"). Otherwise, an INVALID_ARGUMENT error is returned. This should not be set when: * setting SearchRequest.user_info. * using the JavaScript tag in UserEventService.CollectUserEvent or if direct_user_request is set.
"userAgent": "A String", # User agent as included in the HTTP header. The field must be a UTF-8 encoded string with a length limit of 1,000 characters. Otherwise, an INVALID_ARGUMENT error is returned. This should not be set when using the client side event reporting with GTM or JavaScript tag in UserEventService.CollectUserEvent or if direct_user_request is set.
"userId": "A String", # Highly recommended for logged-in users. Unique identifier for logged-in user, such as a user name. Don't set for anonymous users. Always use a hashed value for this ID. Don't set the field to the same fixed ID for different users. This mixes the event history of those users together, which results in degraded model quality. The field must be a UTF-8 encoded string with a length limit of 128 characters. Otherwise, an INVALID_ARGUMENT error is returned.
},
"visitorId": "A String", # Required. A unique identifier for tracking visitors. For example, this could be implemented with an HTTP cookie, which should be able to uniquely identify a visitor on a single device. This unique identifier should not change if the visitor log in/out of the website. Don't set the field to the same fixed ID for different users. This mixes the event history of those users together, which results in degraded model quality. The field must be a UTF-8 encoded string with a length limit of 128 characters. Otherwise, an INVALID_ARGUMENT error is returned. The field should not contain PII or user-data. We recommend to use Google Analytics [Client ID](https://developers.google.com/analytics/devguides/collection/analyticsjs/field-reference#clientId) for this field.
},
"validateOnly": True or 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.
}

x__xgafv: string, V1 error format.
Allowed values
1 - v1 error format
2 - v2 error format

Returns:
An object of the form:

{ # Response message for predict method.
"attributionToken": "A String", # A unique attribution token. This should be included in the UserEvent logs resulting from this recommendation, which enables accurate attribution of recommendation model performance.
"missingIds": [ # IDs of products in the request that were missing from the inventory.
"A String",
],
"results": [ # A list of recommended products. The order represents the ranking (from the most relevant product to the least).
{ # PredictionResult represents the recommendation prediction results.
"id": "A String", # ID of the recommended product
"metadata": { # 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`.
"a_key": "",
},
},
],
"validateOnly": True or False, # True if the validateOnly property was set in the request.
}

removeControl(servingConfig, body=None, x__xgafv=None)

Disables a Control on the specified ServingConfig. The control is removed from the ServingConfig. Returns a NOT_FOUND error if the Control is not enabled for the ServingConfig.

Args:
servingConfig: string, Required. The source ServingConfig resource name . Format: `projects/{project_number}/locations/{location_id}/catalogs/{catalog_id}/servingConfigs/{serving_config_id}` (required)
body: object, The request body.
The object takes the form of:

{ # Request for RemoveControl method.
"controlId": "A String", # Required. The id of the control to apply. Assumed to be in the same catalog as the serving config.
}

x__xgafv: string, V1 error format.
Allowed values
1 - v1 error format
2 - v2 error format

Returns:
An object of the form:

{ # Configures metadata that is used to generate serving time results (e.g. search results or recommendation predictions).
"boostControlIds": [ # Condition boost specifications. If a product matches multiple conditions in the specifications, boost scores from these specifications are all applied and combined in a non-linear way. Maximum number of specifications is 100. Notice that if both ServingConfig.boost_control_ids and SearchRequest.boost_spec are set, the boost conditions from both places are evaluated. If a search request matches multiple boost conditions, the final boost score is equal to the sum of the boost scores from all matched boost conditions. Can only be set if solution_types is SOLUTION_TYPE_SEARCH.
"A String",
],
"displayName": "A String", # Required. The human readable serving config display name. Used in Retail UI. This field must be a UTF-8 encoded string with a length limit of 128 characters. Otherwise, an INVALID_ARGUMENT error is returned.
"diversityLevel": "A String", # How much diversity to use in recommendation model results e.g. `medium-diversity` or `high-diversity`. Currently supported values: * `no-diversity` * `low-diversity` * `medium-diversity` * `high-diversity` * `auto-diversity` If not specified, we choose default based on recommendation model type. Default value: `no-diversity`. Can only be set if solution_types is SOLUTION_TYPE_RECOMMENDATION.
"diversityType": "A String", # What kind of diversity to use - data driven or rule based. If unset, the server behavior defaults to RULE_BASED_DIVERSITY.
"doNotAssociateControlIds": [ # Condition do not associate specifications. If multiple do not associate conditions match, all matching do not associate controls in the list will execute. - Order does not matter. - Maximum number of specifications is 100. Can only be set if solution_types is SOLUTION_TYPE_SEARCH.
"A String",
],
"dynamicFacetSpec": { # The specifications of dynamically generated facets. # The specification for dynamically generated facets. Notice that only textual facets can be dynamically generated. Can only be set if solution_types is SOLUTION_TYPE_SEARCH.
"mode": "A String", # Mode of the DynamicFacet feature. Defaults to Mode.DISABLED if it's unset.
},
"enableCategoryFilterLevel": "A String", # Whether to add additional category filters on the `similar-items` model. If not specified, we enable it by default. Allowed values are: * `no-category-match`: No additional filtering of original results from the model and the customer's filters. * `relaxed-category-match`: Only keep results with categories that match at least one item categories in the PredictRequests's context item. * If customer also sends filters in the PredictRequest, then the results will satisfy both conditions (user given and category match). Can only be set if solution_types is SOLUTION_TYPE_RECOMMENDATION.
"facetControlIds": [ # Facet specifications for faceted search. If empty, no facets are returned. The ids refer to the ids of Control resources with only the Facet control set. These controls are assumed to be in the same Catalog as the ServingConfig. A maximum of 100 values are allowed. Otherwise, an INVALID_ARGUMENT error is returned. Can only be set if solution_types is SOLUTION_TYPE_SEARCH.
"A String",
],
"filterControlIds": [ # Condition filter specifications. If a product matches multiple conditions in the specifications, filters from these specifications are all applied and combined via the AND operator. Maximum number of specifications is 100. Can only be set if solution_types is SOLUTION_TYPE_SEARCH.
"A String",
],
"ignoreControlIds": [ # Condition ignore specifications. If multiple ignore conditions match, all matching ignore controls in the list will execute. - Order does not matter. - Maximum number of specifications is 100. Can only be set if solution_types is SOLUTION_TYPE_SEARCH.
"A String",
],
"ignoreRecsDenylist": True or False, # When the flag is enabled, the products in the denylist will not be filtered out in the recommendation filtering results.
"modelId": "A String", # The id of the model in the same Catalog to use at serving time. Currently only RecommendationModels are supported: https://cloud.google.com/retail/recommendations-ai/docs/create-models Can be changed but only to a compatible model (e.g. others-you-may-like CTR to others-you-may-like CVR). Required when solution_types is SOLUTION_TYPE_RECOMMENDATION.
"name": "A String", # Immutable. Fully qualified name `projects/*/locations/global/catalogs/*/servingConfig/*`
"onewaySynonymsControlIds": [ # Condition oneway synonyms specifications. If multiple oneway synonyms conditions match, all matching oneway synonyms controls in the list will execute. Order of controls in the list will not matter. Maximum number of specifications is 100. Can only be set if solution_types is SOLUTION_TYPE_SEARCH.
"A String",
],
"personalizationSpec": { # The specification for personalization. # The specification for personalization spec. Can only be set if solution_types is SOLUTION_TYPE_SEARCH. Notice that if both ServingConfig.personalization_spec and SearchRequest.personalization_spec are set. SearchRequest.personalization_spec will override ServingConfig.personalization_spec.
"mode": "A String", # Defaults to Mode.AUTO.
},
"priceRerankingLevel": "A String", # How much price ranking we want in serving results. Price reranking causes product items with a similar recommendation probability to be ordered by price, with the highest-priced items first. This setting could result in a decrease in click-through and conversion rates. Allowed values are: * `no-price-reranking` * `low-price-reranking` * `medium-price-reranking` * `high-price-reranking` If not specified, we choose default based on model type. Default value: `no-price-reranking`. Can only be set if solution_types is SOLUTION_TYPE_RECOMMENDATION.
"redirectControlIds": [ # Condition redirect specifications. Only the first triggered redirect action is applied, even if multiple apply. Maximum number of specifications is 1000. Can only be set if solution_types is SOLUTION_TYPE_SEARCH.
"A String",
],
"replacementControlIds": [ # Condition replacement specifications. - Applied according to the order in the list. - A previously replaced term can not be re-replaced. - Maximum number of specifications is 100. Can only be set if solution_types is SOLUTION_TYPE_SEARCH.
"A String",
],
"solutionTypes": [ # Required. Immutable. Specifies the solution types that a serving config can be associated with. Currently we support setting only one type of solution.
"A String",
],
"twowaySynonymsControlIds": [ # Condition synonyms specifications. If multiple syonyms conditions match, all matching synonyms control in the list will execute. Order of controls in the list will not matter. Maximum number of specifications is 100. Can only be set if solution_types is SOLUTION_TYPE_SEARCH.
"A String",
],
}

search(placement, body=None, x__xgafv=None)

Performs a search. This feature is only available for users who have Retail Search enabled. Enable Retail Search on Cloud Console before using this feature.

Args:
placement: string, Required. The resource name of the Retail Search serving config, such as `projects/*/locations/global/catalogs/default_catalog/servingConfigs/default_serving_config` or the name of the legacy placement resource, such as `projects/*/locations/global/catalogs/default_catalog/placements/default_search`. This field is used to identify the serving config name and the set of models that are used to make the search. (required)
body: object, The request body.
The object takes the form of:

{ # Request message for SearchService.Search method.
"boostSpec": { # Boost specification to boost certain items. # Boost specification to boost certain products. For more information, see [Boost results](https://cloud.google.com/retail/docs/boosting). Notice that if both ServingConfig.boost_control_ids and SearchRequest.boost_spec are set, the boost conditions from both places are evaluated. If a search request matches multiple boost conditions, the final boost score is equal to the sum of the boost scores from all matched boost conditions.
"conditionBoostSpecs": [ # Condition boost specifications. If a product matches multiple conditions in the specifictions, boost scores from these specifications are all applied and combined in a non-linear way. Maximum number of specifications is 20.
{ # Boost applies to products which match a condition.
"boost": 3.14, # Strength of the condition boost, which should be in [-1, 1]. Negative boost means demotion. Default is 0.0. Setting to 1.0 gives the item a big promotion. However, it does not necessarily mean that the boosted item will be the top result at all times, nor that other items will be excluded. Results could still be shown even when none of them matches the condition. And results that are significantly more relevant to the search query can still trump your heavily favored but irrelevant items. Setting to -1.0 gives the item a big demotion. However, results that are deeply relevant might still be shown. The item will have an upstream battle to get a fairly high ranking, but it is not blocked out completely. Setting to 0.0 means no boost applied. The boosting condition is ignored.
"condition": "A String", # An expression which specifies a boost condition. The syntax and supported fields are the same as a filter expression. See SearchRequest.filter for detail syntax and limitations. Examples: * To boost products with product ID "product_1" or "product_2", and color "Red" or "Blue": * (id: ANY("product_1", "product_2")) AND (colorFamilies: ANY("Red","Blue"))
},
],
"skipBoostSpecValidation": True or False, # Whether to skip boostspec validation. If this field is set to true, invalid BoostSpec.condition_boost_specs will be ignored and valid BoostSpec.condition_boost_specs will still be applied.
},
"branch": "A String", # The branch resource name, such as `projects/*/locations/global/catalogs/default_catalog/branches/0`. Use "default_branch" as the branch ID or leave this field empty, to search products under the default branch.
"canonicalFilter": "A String", # The default filter that is applied when a user performs a search without checking any filters on the search page. The filter applied to every search request when quality improvement such as query expansion is needed. In the case a query does not have a sufficient amount of results this filter will be used to determine whether or not to enable the query expansion flow. The original filter will still be used for the query expanded search. This field is strongly recommended to achieve high search quality. For more information about filter syntax, see SearchRequest.filter.
"conversationalSearchSpec": { # This field specifies all conversational related parameters addition to traditional retail search. # Optional. This field specifies all conversational related parameters addition to traditional retail search.
"conversationId": "A String", # This field specifies the conversation id, which maintains the state of the conversation between client side and server side. Use the value from the previous ConversationalSearchResult.conversation_id. For the initial request, this should be empty.
"followupConversationRequested": True or False, # This field specifies whether the customer would like to do conversational search. If this field is set to true, conversational related extra information will be returned from server side, including follow-up question, answer options, etc.
"userAnswer": { # This field specifies the current user answer during the conversational search. This can be either user selected from suggested answers or user input plain text. # This field specifies the current user answer during the conversational search. This can be either user selected from suggested answers or user input plain text.
"selectedAnswer": { # This field specifies the selected answers during the conversational search. # This field specifies the selected attributes during the conversational search. This should be a subset of ConversationalSearchResult.suggested_answers.
"productAttributeValue": { # Product attribute which structured by an attribute name and value. This structure is used in conversational search filters and answers. For example, if we have `name=color` and `value=red`, this means that the color is `red`. # This field specifies the selected answer which is a attribute key-value.
"name": "A String", # The attribute name.
"value": "A String", # The attribute value.
},
"productAttributeValues": [ # This field is deprecated and should not be set.
{ # Product attribute which structured by an attribute name and value. This structure is used in conversational search filters and answers. For example, if we have `name=color` and `value=red`, this means that the color is `red`.
"name": "A String", # The attribute name.
"value": "A String", # The attribute value.
},
],
},
"textAnswer": "A String", # This field specifies the incremental input text from the user during the conversational search.
},
},
"dynamicFacetSpec": { # The specifications of dynamically generated facets. # Deprecated. Refer to https://cloud.google.com/retail/docs/configs#dynamic to enable dynamic facets. Do not set this field. The specification for dynamically generated facets. Notice that only textual facets can be dynamically generated.
"mode": "A String", # Mode of the DynamicFacet feature. Defaults to Mode.DISABLED if it's unset.
},
"entity": "A String", # The entity for customers that may run multiple different entities, domains, sites or regions, for example, `Google US`, `Google Ads`, `Waymo`, `google.com`, `youtube.com`, etc. If this is set, it should be exactly matched with UserEvent.entity to get search results boosted by entity.
"facetSpecs": [ # Facet specifications for faceted search. If empty, no facets are returned. A maximum of 200 values are allowed. Otherwise, an INVALID_ARGUMENT error is returned.
{ # A facet specification to perform faceted search.
"enableDynamicPosition": True or False, # Enables dynamic position for this facet. If set to true, the position of this facet among all facets in the response is determined by Google Retail Search. It is ordered together with dynamic facets if dynamic facets is enabled. If set to false, the position of this facet in the response is the same as in the request, and it is ranked before the facets with dynamic position enable and all dynamic facets. For example, you may always want to have rating facet returned in the response, but it's not necessarily to always display the rating facet at the top. In that case, you can set enable_dynamic_position to true so that the position of rating facet in response is determined by Google Retail Search. Another example, assuming you have the following facets in the request: * "rating", enable_dynamic_position = true * "price", enable_dynamic_position = false * "brands", enable_dynamic_position = false And also you have a dynamic facets enable, which generates a facet "gender". Then, the final order of the facets in the response can be ("price", "brands", "rating", "gender") or ("price", "brands", "gender", "rating") depends on how Google Retail Search orders "gender" and "rating" facets. However, notice that "price" and "brands" are always ranked at first and second position because their enable_dynamic_position values are false.
"excludedFilterKeys": [ # List of keys to exclude when faceting. By default, FacetKey.key is not excluded from the filter unless it is listed in this field. Listing a facet key in this field allows its values to appear as facet results, even when they are filtered out of search results. Using this field does not affect what search results are returned. For example, suppose there are 100 products with the color facet "Red" and 200 products with the color facet "Blue". A query containing the filter "colorFamilies:ANY("Red")" and having "colorFamilies" as FacetKey.key would by default return only "Red" products in the search results, and also return "Red" with count 100 as the only color facet. Although there are also blue products available, "Blue" would not be shown as an available facet value. If "colorFamilies" is listed in "excludedFilterKeys", then the query returns the facet values "Red" with count 100 and "Blue" with count 200, because the "colorFamilies" key is now excluded from the filter. Because this field doesn't affect search results, the search results are still correctly filtered to return only "Red" products. A maximum of 100 values are allowed. Otherwise, an INVALID_ARGUMENT error is returned.
"A String",
],
"facetKey": { # Specifies how a facet is computed. # Required. The facet key specification.
"caseInsensitive": True or False, # True to make facet keys case insensitive when getting faceting values with prefixes or contains; false otherwise.
"contains": [ # Only get facet values that contains the given strings. For example, suppose "categories" has three values "Women > Shoe", "Women > Dress" and "Men > Shoe". If set "contains" to "Shoe", the "categories" facet gives only "Women > Shoe" and "Men > Shoe". Only supported on textual fields. Maximum is 10.
"A String",
],
"intervals": [ # Set only if values should be bucketized into intervals. Must be set for facets with numerical values. Must not be set for facet with text values. Maximum number of intervals is 40. For all numerical facet keys that appear in the list of products from the catalog, the percentiles 0, 10, 30, 50, 70, 90, and 100 are computed from their distribution weekly. If the model assigns a high score to a numerical facet key and its intervals are not specified in the search request, these percentiles become the bounds for its intervals and are returned in the response. If the facet key intervals are specified in the request, then the specified intervals are returned instead.
{ # A floating point interval.
"exclusiveMaximum": 3.14, # Exclusive upper bound.
"exclusiveMinimum": 3.14, # Exclusive lower bound.
"maximum": 3.14, # Inclusive upper bound.
"minimum": 3.14, # Inclusive lower bound.
},
],
"key": "A String", # Required. Supported textual and numerical facet keys in Product object, over which the facet values are computed. Facet key is case-sensitive. Allowed facet keys when FacetKey.query is not specified: * textual_field = * "brands" * "categories" * "genders" * "ageGroups" * "availability" * "colorFamilies" * "colors" * "sizes" * "materials" * "patterns" * "conditions" * "attributes.key" * "pickupInStore" * "shipToStore" * "sameDayDelivery" * "nextDayDelivery" * "customFulfillment1" * "customFulfillment2" * "customFulfillment3" * "customFulfillment4" * "customFulfillment5" * "inventory(place_id,attributes.key)" * numerical_field = * "price" * "discount" * "rating" * "ratingCount" * "attributes.key" * "inventory(place_id,price)" * "inventory(place_id,original_price)" * "inventory(place_id,attributes.key)"
"orderBy": "A String", # The order in which SearchResponse.Facet.values are returned. Allowed values are: * "count desc", which means order by SearchResponse.Facet.values.count descending. * "value desc", which means order by SearchResponse.Facet.values.value descending. Only applies to textual facets. If not set, textual values are sorted in [natural order](https://en.wikipedia.org/wiki/Natural_sort_order); numerical intervals are sorted in the order given by FacetSpec.FacetKey.intervals; FulfillmentInfo.place_ids are sorted in the order given by FacetSpec.FacetKey.restricted_values.
"prefixes": [ # Only get facet values that start with the given string prefix. For example, suppose "categories" has three values "Women > Shoe", "Women > Dress" and "Men > Shoe". If set "prefixes" to "Women", the "categories" facet gives only "Women > Shoe" and "Women > Dress". Only supported on textual fields. Maximum is 10.
"A String",
],
"query": "A String", # The query that is used to compute facet for the given facet key. When provided, it overrides the default behavior of facet computation. The query syntax is the same as a filter expression. See SearchRequest.filter for detail syntax and limitations. Notice that there is no limitation on FacetKey.key when query is specified. In the response, SearchResponse.Facet.values.value is always "1" and SearchResponse.Facet.values.count is the number of results that match the query. For example, you can set a customized facet for "shipToStore", where FacetKey.key is "customizedShipToStore", and FacetKey.query is "availability: ANY(\"IN_STOCK\") AND shipToStore: ANY(\"123\")". Then the facet counts the products that are both in stock and ship to store "123".
"restrictedValues": [ # Only get facet for the given restricted values. For example, when using "pickupInStore" as key and set restricted values to ["store123", "store456"], only facets for "store123" and "store456" are returned. Only supported on predefined textual fields, custom textual attributes and fulfillments. Maximum is 20. Must be set for the fulfillment facet keys: * pickupInStore * shipToStore * sameDayDelivery * nextDayDelivery * customFulfillment1 * customFulfillment2 * customFulfillment3 * customFulfillment4 * customFulfillment5
"A String",
],
"returnMinMax": True or False, # Returns the min and max value for each numerical facet intervals. Ignored for textual facets.
},
"limit": 42, # Maximum of facet values that should be returned for this facet. If unspecified, defaults to 50. The maximum allowed value is 300. Values above 300 will be coerced to 300. If this field is negative, an INVALID_ARGUMENT is returned.
},
],
"filter": "A String", # The filter syntax consists of an expression language for constructing a predicate from one or more fields of the products being filtered. Filter expression is case-sensitive. For more information, see [Filter](https://cloud.google.com/retail/docs/filter-and-order#filter). If this field is unrecognizable, an INVALID_ARGUMENT is returned.
"labels": { # 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. For more information, see [Requirements for labels](https://cloud.google.com/resource-manager/docs/creating-managing-labels#requirements) in the Resource Manager documentation.
"a_key": "A String",
},
"offset": 42, # A 0-indexed integer that specifies the current offset (that is, starting result location, amongst the Products deemed by the API as relevant) in search results. This field is only considered if page_token is unset. If this field is negative, an INVALID_ARGUMENT is returned.
"orderBy": "A String", # The order in which products are returned. Products can be ordered by a field in an Product object. Leave it unset if ordered by relevance. OrderBy expression is case-sensitive. For more information, see [Order](https://cloud.google.com/retail/docs/filter-and-order#order). If this field is unrecognizable, an INVALID_ARGUMENT is returned.
"pageCategories": [ # The categories associated with a category page. Must be set for category navigation queries to achieve good search quality. The format should be the same as UserEvent.page_categories; To represent full path of category, use '>' sign to separate different hierarchies. If '>' is part of the category name, replace it with other character(s). Category pages include special pages such as sales or promotions. For instance, a special sale page may have the category hierarchy: "pageCategories" : ["Sales > 2017 Black Friday Deals"].
"A String",
],
"pageSize": 42, # Maximum number of Products to return. If unspecified, defaults to a reasonable value. The maximum allowed value is 120. Values above 120 will be coerced to 120. If this field is negative, an INVALID_ARGUMENT is returned.
"pageToken": "A String", # A page token SearchResponse.next_page_token, received from a previous SearchService.Search call. Provide this to retrieve the subsequent page. When paginating, all other parameters provided to SearchService.Search must match the call that provided the page token. Otherwise, an INVALID_ARGUMENT error is returned.
"personalizationSpec": { # The specification for personalization. # The specification for personalization. Notice that if both ServingConfig.personalization_spec and SearchRequest.personalization_spec are set. SearchRequest.personalization_spec will override ServingConfig.personalization_spec.
"mode": "A String", # Defaults to Mode.AUTO.
},
"query": "A String", # Raw search query. If this field is empty, the request is considered a category browsing request and returned results are based on filter and page_categories.
"queryExpansionSpec": { # Specification to determine under which conditions query expansion should occur. # The query expansion specification that specifies the conditions under which query expansion occurs. For more information, see [Query expansion](https://cloud.google.com/retail/docs/result-size#query_expansion).
"condition": "A String", # The condition under which query expansion should occur. Default to Condition.DISABLED.
"pinUnexpandedResults": True or False, # Whether to pin unexpanded results. If this field is set to true, unexpanded products are always at the top of the search results, followed by the expanded results.
},
"searchMode": "A String", # The search mode of the search request. If not specified, a single search request triggers both product search and faceted search.
"spellCorrectionSpec": { # The specification for query spell correction. # The spell correction specification that specifies the mode under which spell correction will take effect.
"mode": "A String", # The mode under which spell correction should take effect to replace the original search query. Default to Mode.AUTO.
},
"tileNavigationSpec": { # This field specifies tile navigation related parameters. # Optional. This field specifies tile navigation related parameters.
"appliedTiles": [ # This field specifies the tiles which are already clicked in client side. NOTE: This field is not being used for filtering search products. Client side should also put all the applied tiles in SearchRequest.filter.
{ # This field specifies the tile information including an attribute key, attribute value. More fields will be added in the future, eg: product id or product counts, etc.
"productAttributeInterval": { # Product attribute name and numeric interval. # The product attribute key-numeric interval.
"interval": { # A floating point interval. # The numeric interval (e.g. [10, 20))
"exclusiveMaximum": 3.14, # Exclusive upper bound.
"exclusiveMinimum": 3.14, # Exclusive lower bound.
"maximum": 3.14, # Inclusive upper bound.
"minimum": 3.14, # Inclusive lower bound.
},
"name": "A String", # The attribute name (e.g. "length")
},
"productAttributeValue": { # Product attribute which structured by an attribute name and value. This structure is used in conversational search filters and answers. For example, if we have `name=color` and `value=red`, this means that the color is `red`. # The product attribute key-value.
"name": "A String", # The attribute name.
"value": "A String", # The attribute value.
},
"representativeProductId": "A String", # The representative product id for this tile.
},
],
"tileNavigationRequested": True or False, # This field specifies whether the customer would like to request tile navigation.
},
"userInfo": { # Information of an end user. # User information.
"directUserRequest": True or False, # True if the request is made directly from the end user, in which case the ip_address and user_agent can be populated from the HTTP request. This flag should be set only if the API request is made directly from the end user such as a mobile app (and not if a gateway or a server is processing and pushing the user events). This should not be set when using the JavaScript tag in UserEventService.CollectUserEvent.
"ipAddress": "A String", # The end user's IP address. This field is used to extract location information for personalization. This field must be either an IPv4 address (e.g. "104.133.9.80") or an IPv6 address (e.g. "2001:0db8:85a3:0000:0000:8a2e:0370:7334"). Otherwise, an INVALID_ARGUMENT error is returned. This should not be set when: * setting SearchRequest.user_info. * using the JavaScript tag in UserEventService.CollectUserEvent or if direct_user_request is set.
"userAgent": "A String", # User agent as included in the HTTP header. The field must be a UTF-8 encoded string with a length limit of 1,000 characters. Otherwise, an INVALID_ARGUMENT error is returned. This should not be set when using the client side event reporting with GTM or JavaScript tag in UserEventService.CollectUserEvent or if direct_user_request is set.
"userId": "A String", # Highly recommended for logged-in users. Unique identifier for logged-in user, such as a user name. Don't set for anonymous users. Always use a hashed value for this ID. Don't set the field to the same fixed ID for different users. This mixes the event history of those users together, which results in degraded model quality. The field must be a UTF-8 encoded string with a length limit of 128 characters. Otherwise, an INVALID_ARGUMENT error is returned.
},
"variantRollupKeys": [ # The keys to fetch and rollup the matching variant Products attributes, FulfillmentInfo or LocalInventorys attributes. The attributes from all the matching variant Products or LocalInventorys are merged and de-duplicated. Notice that rollup attributes will lead to extra query latency. Maximum number of keys is 30. For FulfillmentInfo, a fulfillment type and a fulfillment ID must be provided in the format of "fulfillmentType.fulfillmentId". E.g., in "pickupInStore.store123", "pickupInStore" is fulfillment type and "store123" is the store ID. Supported keys are: * colorFamilies * price * originalPrice * discount * variantId * inventory(place_id,price) * inventory(place_id,original_price) * inventory(place_id,attributes.key), where key is any key in the Product.local_inventories.attributes map. * attributes.key, where key is any key in the Product.attributes map. * pickupInStore.id, where id is any FulfillmentInfo.place_ids for FulfillmentInfo.type "pickup-in-store". * shipToStore.id, where id is any FulfillmentInfo.place_ids for FulfillmentInfo.type "ship-to-store". * sameDayDelivery.id, where id is any FulfillmentInfo.place_ids for FulfillmentInfo.type "same-day-delivery". * nextDayDelivery.id, where id is any FulfillmentInfo.place_ids for FulfillmentInfo.type "next-day-delivery". * customFulfillment1.id, where id is any FulfillmentInfo.place_ids for FulfillmentInfo.type "custom-type-1". * customFulfillment2.id, where id is any FulfillmentInfo.place_ids for FulfillmentInfo.type "custom-type-2". * customFulfillment3.id, where id is any FulfillmentInfo.place_ids for FulfillmentInfo.type "custom-type-3". * customFulfillment4.id, where id is any FulfillmentInfo.place_ids for FulfillmentInfo.type "custom-type-4". * customFulfillment5.id, where id is any FulfillmentInfo.place_ids for FulfillmentInfo.type "custom-type-5". If this field is set to an invalid value other than these, an INVALID_ARGUMENT error is returned.
"A String",
],
"visitorId": "A String", # Required. A unique identifier for tracking visitors. For example, this could be implemented with an HTTP cookie, which should be able to uniquely identify a visitor on a single device. This unique identifier should not change if the visitor logs in or out of the website. This should be the same identifier as UserEvent.visitor_id. The field must be a UTF-8 encoded string with a length limit of 128 characters. Otherwise, an INVALID_ARGUMENT error is returned.
}

x__xgafv: string, V1 error format.
Allowed values
1 - v1 error format
2 - v2 error format

Returns:
An object of the form:

{ # Response message for SearchService.Search method.
"appliedControls": [ # The fully qualified resource name of applied [controls](https://cloud.google.com/retail/docs/serving-control-rules).
"A String",
],
"attributionToken": "A String", # A unique search token. This should be included in the UserEvent logs resulting from this search, which enables accurate attribution of search model performance.
"conversationalSearchResult": { # This field specifies all related information that is needed on client side for UI rendering of conversational retail search. # This field specifies all related information that is needed on client side for UI rendering of conversational retail search.
"additionalFilter": { # Additional filter that client side need to apply. # This is the incremental additional filters implied from the current user answer. User should add the suggested addition filters to the previous SearchRequest.filter, and use the merged filter in the follow up search request.
"productAttributeValue": { # Product attribute which structured by an attribute name and value. This structure is used in conversational search filters and answers. For example, if we have `name=color` and `value=red`, this means that the color is `red`. # Product attribute value, including an attribute key and an attribute value. Other types can be added here in the future.
"name": "A String", # The attribute name.
"value": "A String", # The attribute value.
},
},
"additionalFilters": [ # This field is deprecated but will be kept for backward compatibility. There is expected to have only one additional filter and the value will be the same to the same as field `additional_filter`.
{ # Additional filter that client side need to apply.
"productAttributeValue": { # Product attribute which structured by an attribute name and value. This structure is used in conversational search filters and answers. For example, if we have `name=color` and `value=red`, this means that the color is `red`. # Product attribute value, including an attribute key and an attribute value. Other types can be added here in the future.
"name": "A String", # The attribute name.
"value": "A String", # The attribute value.
},
},
],
"conversationId": "A String", # Conversation UUID. This field will be stored in client side storage to maintain the conversation session with server and will be used for next search request's SearchRequest.ConversationalSearchSpec.conversation_id to restore conversation state in server.
"followupQuestion": "A String", # The follow-up question. e.g., `What is the color?`
"refinedQuery": "A String", # The current refined query for the conversational search. This field will be used in customer UI that the query in the search bar should be replaced with the refined query. For example, if SearchRequest.query is `dress` and next SearchRequest.ConversationalSearchSpec.UserAnswer.text_answer is `red color`, which does not match any product attribute value filters, the refined query will be `dress, red color`.
"suggestedAnswers": [ # The answer options provided to client for the follow-up question.
{ # Suggested answers to the follow-up question.
"productAttributeValue": { # Product attribute which structured by an attribute name and value. This structure is used in conversational search filters and answers. For example, if we have `name=color` and `value=red`, this means that the color is `red`. # Product attribute value, including an attribute key and an attribute value. Other types can be added here in the future.
"name": "A String", # The attribute name.
"value": "A String", # The attribute value.
},
},
],
},
"correctedQuery": "A String", # Contains the spell corrected query, if found. If the spell correction type is AUTOMATIC, then the search results are based on corrected_query. Otherwise the original query is used for search.
"experimentInfo": [ # Metadata related to A/B testing experiment associated with this response. Only exists when an experiment is triggered.
{ # Metadata for active A/B testing experiment.
"experiment": "A String", # The fully qualified resource name of the experiment that provides the serving config under test, should an active experiment exist. For example: `projects/*/locations/global/catalogs/default_catalog/experiments/experiment_id`
"servingConfigExperiment": { # Metadata for active serving config A/B tests. # A/B test between existing Cloud Retail Search ServingConfigs.
"experimentServingConfig": "A String", # The fully qualified resource name of the serving config `Experiment.VariantArm.serving_config_id` responsible for generating the search response. For example: `projects/*/locations/*/catalogs/*/servingConfigs/*`.
"originalServingConfig": "A String", # The fully qualified resource name of the original SearchRequest.placement in the search request prior to reassignment by experiment API. For example: `projects/*/locations/*/catalogs/*/servingConfigs/*`.
},
},
],
"facets": [ # Results of facets requested by user.
{ # A facet result.
"dynamicFacet": True or False, # Whether the facet is dynamically generated.
"key": "A String", # The key for this facet. E.g., "colorFamilies" or "price" or "attributes.attr1".
"values": [ # The facet values for this field.
{ # A facet value which contains value names and their count.
"count": "A String", # Number of items that have this facet value.
"interval": { # A floating point interval. # Interval value for a facet, such as [10, 20) for facet "price".
"exclusiveMaximum": 3.14, # Exclusive upper bound.
"exclusiveMinimum": 3.14, # Exclusive lower bound.
"maximum": 3.14, # Inclusive upper bound.
"minimum": 3.14, # Inclusive lower bound.
},
"maxValue": 3.14, # The maximum value in the FacetValue.interval. Only supported on numerical facets and returned if SearchRequest.FacetSpec.FacetKey.return_min_max is true.
"minValue": 3.14, # The minimum value in the FacetValue.interval. Only supported on numerical facets and returned if SearchRequest.FacetSpec.FacetKey.return_min_max is true.
"value": "A String", # Text value of a facet, such as "Black" for facet "colorFamilies".
},
],
},
],
"invalidConditionBoostSpecs": [ # The invalid SearchRequest.BoostSpec.condition_boost_specs that are not applied during serving.
{ # Boost applies to products which match a condition.
"boost": 3.14, # Strength of the condition boost, which should be in [-1, 1]. Negative boost means demotion. Default is 0.0. Setting to 1.0 gives the item a big promotion. However, it does not necessarily mean that the boosted item will be the top result at all times, nor that other items will be excluded. Results could still be shown even when none of them matches the condition. And results that are significantly more relevant to the search query can still trump your heavily favored but irrelevant items. Setting to -1.0 gives the item a big demotion. However, results that are deeply relevant might still be shown. The item will have an upstream battle to get a fairly high ranking, but it is not blocked out completely. Setting to 0.0 means no boost applied. The boosting condition is ignored.
"condition": "A String", # An expression which specifies a boost condition. The syntax and supported fields are the same as a filter expression. See SearchRequest.filter for detail syntax and limitations. Examples: * To boost products with product ID "product_1" or "product_2", and color "Red" or "Blue": * (id: ANY("product_1", "product_2")) AND (colorFamilies: ANY("Red","Blue"))
},
],
"nextPageToken": "A String", # A token that can be sent as SearchRequest.page_token to retrieve the next page. If this field is omitted, there are no subsequent pages.
"pinControlMetadata": { # Metadata for pinning to be returned in the response. This is used for distinguishing between applied vs dropped pins. # Metadata for pin controls which were applicable to the request. This contains two map fields, one for all matched pins and one for pins which were matched but not applied. The two maps are keyed by pin position, and the values are the product ids which were matched to that pin.
"allMatchedPins": { # Map of all matched pins, keyed by pin position.
"a_key": { # List of product ids which have associated pins.
"productId": [ # List of product ids which have associated pins.
"A String",
],
},
},
"droppedPins": { # Map of pins that were dropped due to overlap with other matching pins, keyed by pin position.
"a_key": { # List of product ids which have associated pins.
"productId": [ # List of product ids which have associated pins.
"A String",
],
},
},
},
"queryExpansionInfo": { # Information describing query expansion including whether expansion has occurred. # Query expansion information for the returned results.
"expandedQuery": True or False, # Bool describing whether query expansion has occurred.
"pinnedResultCount": "A String", # Number of pinned results. This field will only be set when expansion happens and SearchRequest.QueryExpansionSpec.pin_unexpanded_results is set to true.
},
"redirectUri": "A String", # The URI of a customer-defined redirect page. If redirect action is triggered, no search is performed, and only redirect_uri and attribution_token are set in the response.
"results": [ # A list of matched items. The order represents the ranking.
{ # Represents the search results.
"id": "A String", # Product.id of the searched Product.
"matchingVariantCount": 42, # The count of matched variant Products.
"matchingVariantFields": { # If a variant Product matches the search query, this map indicates which Product fields are matched. The key is the Product.name, the value is a field mask of the matched Product fields. If matched attributes cannot be determined, this map will be empty. For example, a key "sku1" with field mask "products.color_info" indicates there is a match between "sku1" ColorInfo and the query.
"a_key": "A String",
},
"personalLabels": [ # Specifies previous events related to this product for this user based on UserEvent with same SearchRequest.visitor_id or UserInfo.user_id. This is set only when SearchRequest.PersonalizationSpec.mode is SearchRequest.PersonalizationSpec.Mode.AUTO. Possible values: * `purchased`: Indicates that this product has been purchased before.
"A String",
],
"product": { # Product captures all metadata information of items to be recommended or searched. # The product data snippet in the search response. Only Product.name is guaranteed to be populated. Product.variants contains the product variants that match the search query. If there are multiple product variants matching the query, top 5 most relevant product variants are returned and ordered by relevancy. If relevancy can be deternmined, use matching_variant_fields to look up matched product variants fields. If relevancy cannot be determined, e.g. when searching "shoe" all products in a shoe product can be a match, 5 product variants are returned but order is meaningless.
"attributes": { # Highly encouraged. Extra product attributes to be included. For example, for products, this could include the store name, vendor, style, color, etc. These are very strong signals for recommendation model, thus we highly recommend providing the attributes here. Features that can take on one of a limited number of possible values. Two types of features can be set are: Textual features. some examples would be the brand/maker of a product, or country of a customer. Numerical features. Some examples would be the height/weight of a product, or age of a customer. For example: `{ "vendor": {"text": ["vendor123", "vendor456"]}, "lengths_cm": {"numbers":[2.3, 15.4]}, "heights_cm": {"numbers":[8.1, 6.4]} }`. This field needs to pass all below criteria, otherwise an INVALID_ARGUMENT error is returned: * Max entries count: 200. * The key must be a UTF-8 encoded string with a length limit of 128 characters. * For indexable attribute, the key must match the pattern: `a-zA-Z0-9*`. For example, `key0LikeThis` or `KEY_1_LIKE_THIS`. * For text attributes, at most 400 values are allowed. Empty values are not allowed. Each value must be a non-empty UTF-8 encoded string with a length limit of 256 characters. * For number attributes, at most 400 values are allowed.
"a_key": { # A custom attribute that is not explicitly modeled in Product.
"indexable": True or False, # This field is normally ignored unless AttributesConfig.attribute_config_level of the Catalog is set to the deprecated 'PRODUCT_LEVEL_ATTRIBUTE_CONFIG' mode. For information about product-level attribute configuration, see [Configuration modes](https://cloud.google.com/retail/docs/attribute-config#config-modes). If true, custom attribute values are indexed, so that they can be filtered, faceted or boosted in SearchService.Search. This field is ignored in a UserEvent. See SearchRequest.filter, SearchRequest.facet_specs and SearchRequest.boost_spec for more details.
"numbers": [ # The numerical values of this custom attribute. For example, `[2.3, 15.4]` when the key is "lengths_cm". Exactly one of text or numbers should be set. Otherwise, an INVALID_ARGUMENT error is returned.
3.14,
],
"searchable": True or False, # This field is normally ignored unless AttributesConfig.attribute_config_level of the Catalog is set to the deprecated 'PRODUCT_LEVEL_ATTRIBUTE_CONFIG' mode. For information about product-level attribute configuration, see [Configuration modes](https://cloud.google.com/retail/docs/attribute-config#config-modes). If true, custom attribute values are searchable by text queries in SearchService.Search. This field is ignored in a UserEvent. Only set if type text is set. Otherwise, a INVALID_ARGUMENT error is returned.
"text": [ # The textual values of this custom attribute. For example, `["yellow", "green"]` when the key is "color". Empty string is not allowed. Otherwise, an INVALID_ARGUMENT error is returned. Exactly one of text or numbers should be set. Otherwise, an INVALID_ARGUMENT error is returned.
"A String",
],
},
},
"audience": { # An intended audience of the Product for whom it's sold. # The target group associated with a given audience (e.g. male, veterans, car owners, musicians, etc.) of the product.
"ageGroups": [ # The age groups of the audience. Strongly encouraged to use the standard values: "newborn" (up to 3 months old), "infant" (3–12 months old), "toddler" (1–5 years old), "kids" (5–13 years old), "adult" (typically teens or older). At most 5 values are allowed. Each value must be a UTF-8 encoded string with a length limit of 128 characters. Otherwise, an INVALID_ARGUMENT error is returned. Google Merchant Center property [age_group](https://support.google.com/merchants/answer/6324463). Schema.org property [Product.audience.suggestedMinAge](https://schema.org/suggestedMinAge) and [Product.audience.suggestedMaxAge](https://schema.org/suggestedMaxAge).
"A String",
],
"genders": [ # The genders of the audience. Strongly encouraged to use the standard values: "male", "female", "unisex". At most 5 values are allowed. Each value must be a UTF-8 encoded string with a length limit of 128 characters. Otherwise, an INVALID_ARGUMENT error is returned. Google Merchant Center property [gender](https://support.google.com/merchants/answer/6324479). Schema.org property [Product.audience.suggestedGender](https://schema.org/suggestedGender).
"A String",
],
},
"availability": "A String", # The online availability of the Product. Default to Availability.IN_STOCK. For primary products with variants set the availability of the primary as Availability.OUT_OF_STOCK and set the true availability at the variant level. This way the primary product will be considered "in stock" as long as it has at least one variant in stock. For primary products with no variants set the true availability at the primary level. Corresponding properties: Google Merchant Center property [availability](https://support.google.com/merchants/answer/6324448). Schema.org property [Offer.availability](https://schema.org/availability).
"availableQuantity": 42, # The available quantity of the item.
"availableTime": "A String", # The timestamp when this Product becomes available for SearchService.Search. Note that this is only applicable to Type.PRIMARY and Type.COLLECTION, and ignored for Type.VARIANT.
"brands": [ # The brands of the product. A maximum of 30 brands are allowed unless overridden through the Google Cloud console. Each brand must be a UTF-8 encoded string with a length limit of 1,000 characters. Otherwise, an INVALID_ARGUMENT error is returned. Corresponding properties: Google Merchant Center property [brand](https://support.google.com/merchants/answer/6324351). Schema.org property [Product.brand](https://schema.org/brand).
"A String",
],
"categories": [ # Product categories. This field is repeated for supporting one product belonging to several parallel categories. Strongly recommended using the full path for better search / recommendation quality. To represent full path of category, use '>' sign to separate different hierarchies. If '>' is part of the category name, replace it with other character(s). For example, if a shoes product belongs to both ["Shoes & Accessories" -> "Shoes"] and ["Sports & Fitness" -> "Athletic Clothing" -> "Shoes"], it could be represented as: "categories": [ "Shoes & Accessories > Shoes", "Sports & Fitness > Athletic Clothing > Shoes" ] Must be set for Type.PRIMARY Product otherwise an INVALID_ARGUMENT error is returned. At most 250 values are allowed per Product unless overridden through the Google Cloud console. Empty values are not allowed. Each value must be a UTF-8 encoded string with a length limit of 5,000 characters. Otherwise, an INVALID_ARGUMENT error is returned. Corresponding properties: Google Merchant Center property google_product_category. Schema.org property [Product.category] (https://schema.org/category). [mc_google_product_category]: https://support.google.com/merchants/answer/6324436
"A String",
],
"collectionMemberIds": [ # The id of the collection members when type is Type.COLLECTION. Non-existent product ids are allowed. The type of the members must be either Type.PRIMARY or Type.VARIANT otherwise an INVALID_ARGUMENT error is thrown. Should not set it for other types. A maximum of 1000 values are allowed. Otherwise, an INVALID_ARGUMENT error is return.
"A String",
],
"colorInfo": { # The color information of a Product. # The color of the product. Corresponding properties: Google Merchant Center property [color](https://support.google.com/merchants/answer/6324487). Schema.org property [Product.color](https://schema.org/color).
"colorFamilies": [ # The standard color families. Strongly recommended to use the following standard color groups: "Red", "Pink", "Orange", "Yellow", "Purple", "Green", "Cyan", "Blue", "Brown", "White", "Gray", "Black" and "Mixed". Normally it is expected to have only 1 color family. May consider using single "Mixed" instead of multiple values. A maximum of 5 values are allowed. Each value must be a UTF-8 encoded string with a length limit of 128 characters. Otherwise, an INVALID_ARGUMENT error is returned. Google Merchant Center property [color](https://support.google.com/merchants/answer/6324487). Schema.org property [Product.color](https://schema.org/color).
"A String",
],
"colors": [ # The color display names, which may be different from standard color family names, such as the color aliases used in the website frontend. Normally it is expected to have only 1 color. May consider using single "Mixed" instead of multiple values. A maximum of 75 colors are allowed. Each value must be a UTF-8 encoded string with a length limit of 128 characters. Otherwise, an INVALID_ARGUMENT error is returned. Google Merchant Center property [color](https://support.google.com/merchants/answer/6324487). Schema.org property [Product.color](https://schema.org/color).
"A String",
],
},
"conditions": [ # The condition of the product. Strongly encouraged to use the standard values: "new", "refurbished", "used". A maximum of 1 value is allowed per Product. Each value must be a UTF-8 encoded string with a length limit of 128 characters. Otherwise, an INVALID_ARGUMENT error is returned. Corresponding properties: Google Merchant Center property [condition](https://support.google.com/merchants/answer/6324469). Schema.org property [Offer.itemCondition](https://schema.org/itemCondition).
"A String",
],
"description": "A String", # Product description. This field must be a UTF-8 encoded string with a length limit of 5,000 characters. Otherwise, an INVALID_ARGUMENT error is returned. Corresponding properties: Google Merchant Center property [description](https://support.google.com/merchants/answer/6324468). Schema.org property [Product.description](https://schema.org/description).
"expireTime": "A String", # Note that this field is applied in the following ways: * If the Product is already expired when it is uploaded, this product is not indexed for search. * If the Product is not expired when it is uploaded, only the Type.PRIMARY's and Type.COLLECTION's expireTime is respected, and Type.VARIANT's expireTime is not used. In general, we suggest the users to delete the stale products explicitly, instead of using this field to determine staleness. expire_time must be later than available_time and publish_time, otherwise an INVALID_ARGUMENT error is thrown. Corresponding properties: Google Merchant Center property [expiration_date](https://support.google.com/merchants/answer/6324499).
"fulfillmentInfo": [ # Fulfillment information, such as the store IDs for in-store pickup or region IDs for different shipping methods. All the elements must have distinct FulfillmentInfo.type. Otherwise, an INVALID_ARGUMENT error is returned.
{ # Fulfillment information, such as the store IDs for in-store pickup or region IDs for different shipping methods.
"placeIds": [ # The IDs for this type, such as the store IDs for FulfillmentInfo.type.pickup-in-store or the region IDs for FulfillmentInfo.type.same-day-delivery. A maximum of 3000 values are allowed. Each value must be a string with a length limit of 30 characters, matching the pattern `[a-zA-Z0-9_-]+`, such as "store1" or "REGION-2". Otherwise, an INVALID_ARGUMENT error is returned.
"A String",
],
"type": "A String", # The fulfillment type, including commonly used types (such as pickup in store and same day delivery), and custom types. Customers have to map custom types to their display names before rendering UI. Supported values: * "pickup-in-store" * "ship-to-store" * "same-day-delivery" * "next-day-delivery" * "custom-type-1" * "custom-type-2" * "custom-type-3" * "custom-type-4" * "custom-type-5" If this field is set to an invalid value other than these, an INVALID_ARGUMENT error is returned.
},
],
"gtin": "A String", # The Global Trade Item Number (GTIN) of the product. This field must be a UTF-8 encoded string with a length limit of 128 characters. Otherwise, an INVALID_ARGUMENT error is returned. This field must be a Unigram. Otherwise, an INVALID_ARGUMENT error is returned. Corresponding properties: Google Merchant Center property [gtin](https://support.google.com/merchants/answer/6324461). Schema.org property [Product.isbn](https://schema.org/isbn), [Product.gtin8](https://schema.org/gtin8), [Product.gtin12](https://schema.org/gtin12), [Product.gtin13](https://schema.org/gtin13), or [Product.gtin14](https://schema.org/gtin14). If the value is not a valid GTIN, an INVALID_ARGUMENT error is returned.
"id": "A String", # Immutable. Product identifier, which is the final component of name. For example, this field is "id_1", if name is `projects/*/locations/global/catalogs/default_catalog/branches/default_branch/products/id_1`. This field must be a UTF-8 encoded string with a length limit of 128 characters. Otherwise, an INVALID_ARGUMENT error is returned. Corresponding properties: Google Merchant Center property [id](https://support.google.com/merchants/answer/6324405). Schema.org property [Product.sku](https://schema.org/sku).
"images": [ # Product images for the product. We highly recommend putting the main image first. A maximum of 300 images are allowed. Corresponding properties: Google Merchant Center property [image_link](https://support.google.com/merchants/answer/6324350). Schema.org property [Product.image](https://schema.org/image).
{ # Product image. Recommendations AI and Retail Search use product images to improve prediction and search results. Product images can be returned in results, and are shown in prediction or search previews in the console. Please try to provide correct product images and avoid using images with size too small.
"height": 42, # Height of the image in number of pixels. This field must be nonnegative. Otherwise, an INVALID_ARGUMENT error is returned.
"uri": "A String", # Required. URI of the image. This field must be a valid UTF-8 encoded URI with a length limit of 5,000 characters. Otherwise, an INVALID_ARGUMENT error is returned. Google Merchant Center property [image_link](https://support.google.com/merchants/answer/6324350). Schema.org property [Product.image](https://schema.org/image).
"width": 42, # Width of the image in number of pixels. This field must be nonnegative. Otherwise, an INVALID_ARGUMENT error is returned.
},
],
"languageCode": "A String", # Language of the title/description and other string attributes. Use language tags defined by [BCP 47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt). For product prediction, this field is ignored and the model automatically detects the text language. The Product can include text in different languages, but duplicating Products to provide text in multiple languages can result in degraded model performance. For product search this field is in use. It defaults to "en-US" if unset.
"localInventories": [ # Output only. A list of local inventories specific to different places. This field can be managed by ProductService.AddLocalInventories and ProductService.RemoveLocalInventories APIs if fine-grained, high-volume updates are necessary.
{ # The inventory information at a place (e.g. a store) identified by a place ID.
"attributes": { # Optional. Additional local inventory attributes, for example, store name, promotion tags, etc. This field needs to pass all below criteria, otherwise an INVALID_ARGUMENT error is returned: * At most 30 attributes are allowed. * The key must be a UTF-8 encoded string with a length limit of 32 characters. * The key must match the pattern: `a-zA-Z0-9*`. For example, key0LikeThis or KEY_1_LIKE_THIS. * The attribute values must be of the same type (text or number). * Only 1 value is allowed for each attribute. * For text values, the length limit is 256 UTF-8 characters. * The attribute does not support search. The `searchable` field should be unset or set to false. * The max summed total bytes of custom attribute keys and values per product is 5MiB.
"a_key": { # A custom attribute that is not explicitly modeled in Product.
"indexable": True or False, # This field is normally ignored unless AttributesConfig.attribute_config_level of the Catalog is set to the deprecated 'PRODUCT_LEVEL_ATTRIBUTE_CONFIG' mode. For information about product-level attribute configuration, see [Configuration modes](https://cloud.google.com/retail/docs/attribute-config#config-modes). If true, custom attribute values are indexed, so that they can be filtered, faceted or boosted in SearchService.Search. This field is ignored in a UserEvent. See SearchRequest.filter, SearchRequest.facet_specs and SearchRequest.boost_spec for more details.
"numbers": [ # The numerical values of this custom attribute. For example, `[2.3, 15.4]` when the key is "lengths_cm". Exactly one of text or numbers should be set. Otherwise, an INVALID_ARGUMENT error is returned.
3.14,
],
"searchable": True or False, # This field is normally ignored unless AttributesConfig.attribute_config_level of the Catalog is set to the deprecated 'PRODUCT_LEVEL_ATTRIBUTE_CONFIG' mode. For information about product-level attribute configuration, see [Configuration modes](https://cloud.google.com/retail/docs/attribute-config#config-modes). If true, custom attribute values are searchable by text queries in SearchService.Search. This field is ignored in a UserEvent. Only set if type text is set. Otherwise, a INVALID_ARGUMENT error is returned.
"text": [ # The textual values of this custom attribute. For example, `["yellow", "green"]` when the key is "color". Empty string is not allowed. Otherwise, an INVALID_ARGUMENT error is returned. Exactly one of text or numbers should be set. Otherwise, an INVALID_ARGUMENT error is returned.
"A String",
],
},
},
"availability": "A String", # Optional. The availability of the Product at this place_id. Default to Availability.IN_STOCK. For primary products with variants set the availability of the primary as Availability.OUT_OF_STOCK and set the true availability at the variant level. This way the primary product will be considered "in stock" as long as it has at least one variant in stock. For primary products with no variants set the true availability at the primary level. Corresponding properties: Google Merchant Center property [availability](https://support.google.com/merchants/answer/6324448). Schema.org property [Offer.availability](https://schema.org/availability).
"fulfillmentTypes": [ # Optional. Supported fulfillment types. Valid fulfillment type values include commonly used types (such as pickup in store and same day delivery), and custom types. Customers have to map custom types to their display names before rendering UI. Supported values: * "pickup-in-store" * "ship-to-store" * "same-day-delivery" * "next-day-delivery" * "custom-type-1" * "custom-type-2" * "custom-type-3" * "custom-type-4" * "custom-type-5" If this field is set to an invalid value other than these, an INVALID_ARGUMENT error is returned. All the elements must be distinct. Otherwise, an INVALID_ARGUMENT error is returned.
"A String",
],
"placeId": "A String", # Required. The place ID for the current set of inventory information.
"priceInfo": { # The price information of a Product. # Optional. Product price and cost information. Google Merchant Center property [price](https://support.google.com/merchants/answer/6324371).
"cost": 3.14, # The costs associated with the sale of a particular product. Used for gross profit reporting. * Profit = price - cost Google Merchant Center property [cost_of_goods_sold](https://support.google.com/merchants/answer/9017895).
"currencyCode": "A String", # The 3-letter currency code defined in [ISO 4217](https://www.iso.org/iso-4217-currency-codes.html). If this field is an unrecognizable currency code, an INVALID_ARGUMENT error is returned. The Product.Type.VARIANT Products with the same Product.primary_product_id must share the same currency_code. Otherwise, a FAILED_PRECONDITION error is returned.
"originalPrice": 3.14, # Price of the product without any discount. If zero, by default set to be the price. If set, original_price should be greater than or equal to price, otherwise an INVALID_ARGUMENT error is thrown.
"price": 3.14, # Price of the product. Google Merchant Center property [price](https://support.google.com/merchants/answer/6324371). Schema.org property [Offer.price](https://schema.org/price).
"priceEffectiveTime": "A String", # The timestamp when the price starts to be effective. This can be set as a future timestamp, and the price is only used for search after price_effective_time. If so, the original_price must be set and original_price is used before price_effective_time. Do not set if price is always effective because it will cause additional latency during search.
"priceExpireTime": "A String", # The timestamp when the price stops to be effective. The price is used for search before price_expire_time. If this field is set, the original_price must be set and original_price is used after price_expire_time. Do not set if price is always effective because it will cause additional latency during search.
"priceRange": { # The price range of all variant Product having the same Product.primary_product_id. # Output only. The price range of all the child Product.Type.VARIANT Products grouped together on the Product.Type.PRIMARY Product. Only populated for Product.Type.PRIMARY Products. Note: This field is OUTPUT_ONLY for ProductService.GetProduct. Do not set this field in API requests.
"originalPrice": { # A floating point interval. # The inclusive Product.pricing_info.original_price internal of all variant Product having the same Product.primary_product_id.
"exclusiveMaximum": 3.14, # Exclusive upper bound.
"exclusiveMinimum": 3.14, # Exclusive lower bound.
"maximum": 3.14, # Inclusive upper bound.
"minimum": 3.14, # Inclusive lower bound.
},
"price": { # A floating point interval. # The inclusive Product.pricing_info.price interval of all variant Product having the same Product.primary_product_id.
"exclusiveMaximum": 3.14, # Exclusive upper bound.
"exclusiveMinimum": 3.14, # Exclusive lower bound.
"maximum": 3.14, # Inclusive upper bound.
"minimum": 3.14, # Inclusive lower bound.
},
},
},
},
],
"materials": [ # The material of the product. For example, "leather", "wooden". A maximum of 20 values are allowed. Each value must be a UTF-8 encoded string with a length limit of 200 characters. Otherwise, an INVALID_ARGUMENT error is returned. Corresponding properties: Google Merchant Center property [material](https://support.google.com/merchants/answer/6324410). Schema.org property [Product.material](https://schema.org/material).
"A String",
],
"name": "A String", # Immutable. Full resource name of the product, such as `projects/*/locations/global/catalogs/default_catalog/branches/default_branch/products/product_id`.
"patterns": [ # The pattern or graphic print of the product. For example, "striped", "polka dot", "paisley". A maximum of 20 values are allowed per Product. Each value must be a UTF-8 encoded string with a length limit of 128 characters. Otherwise, an INVALID_ARGUMENT error is returned. Corresponding properties: Google Merchant Center property [pattern](https://support.google.com/merchants/answer/6324483). Schema.org property [Product.pattern](https://schema.org/pattern).
"A String",
],
"priceInfo": { # The price information of a Product. # Product price and cost information. Corresponding properties: Google Merchant Center property [price](https://support.google.com/merchants/answer/6324371).
"cost": 3.14, # The costs associated with the sale of a particular product. Used for gross profit reporting. * Profit = price - cost Google Merchant Center property [cost_of_goods_sold](https://support.google.com/merchants/answer/9017895).
"currencyCode": "A String", # The 3-letter currency code defined in [ISO 4217](https://www.iso.org/iso-4217-currency-codes.html). If this field is an unrecognizable currency code, an INVALID_ARGUMENT error is returned. The Product.Type.VARIANT Products with the same Product.primary_product_id must share the same currency_code. Otherwise, a FAILED_PRECONDITION error is returned.
"originalPrice": 3.14, # Price of the product without any discount. If zero, by default set to be the price. If set, original_price should be greater than or equal to price, otherwise an INVALID_ARGUMENT error is thrown.
"price": 3.14, # Price of the product. Google Merchant Center property [price](https://support.google.com/merchants/answer/6324371). Schema.org property [Offer.price](https://schema.org/price).
"priceEffectiveTime": "A String", # The timestamp when the price starts to be effective. This can be set as a future timestamp, and the price is only used for search after price_effective_time. If so, the original_price must be set and original_price is used before price_effective_time. Do not set if price is always effective because it will cause additional latency during search.
"priceExpireTime": "A String", # The timestamp when the price stops to be effective. The price is used for search before price_expire_time. If this field is set, the original_price must be set and original_price is used after price_expire_time. Do not set if price is always effective because it will cause additional latency during search.
"priceRange": { # The price range of all variant Product having the same Product.primary_product_id. # Output only. The price range of all the child Product.Type.VARIANT Products grouped together on the Product.Type.PRIMARY Product. Only populated for Product.Type.PRIMARY Products. Note: This field is OUTPUT_ONLY for ProductService.GetProduct. Do not set this field in API requests.
"originalPrice": { # A floating point interval. # The inclusive Product.pricing_info.original_price internal of all variant Product having the same Product.primary_product_id.
"exclusiveMaximum": 3.14, # Exclusive upper bound.
"exclusiveMinimum": 3.14, # Exclusive lower bound.
"maximum": 3.14, # Inclusive upper bound.
"minimum": 3.14, # Inclusive lower bound.
},
"price": { # A floating point interval. # The inclusive Product.pricing_info.price interval of all variant Product having the same Product.primary_product_id.
"exclusiveMaximum": 3.14, # Exclusive upper bound.
"exclusiveMinimum": 3.14, # Exclusive lower bound.
"maximum": 3.14, # Inclusive upper bound.
"minimum": 3.14, # Inclusive lower bound.
},
},
},
"primaryProductId": "A String", # Variant group identifier. Must be an id, with the same parent branch with this product. Otherwise, an error is thrown. For Type.PRIMARY Products, this field can only be empty or set to the same value as id. For VARIANT Products, this field cannot be empty. A maximum of 2,000 products are allowed to share the same Type.PRIMARY Product. Otherwise, an INVALID_ARGUMENT error is returned. Corresponding properties: Google Merchant Center property [item_group_id](https://support.google.com/merchants/answer/6324507). Schema.org property [Product.inProductGroupWithID](https://schema.org/inProductGroupWithID).
"promotions": [ # The promotions applied to the product. A maximum of 10 values are allowed per Product. Only Promotion.promotion_id will be used, other fields will be ignored if set.
{ # Promotion specification.
"promotionId": "A String", # Promotion identifier, which is the final component of name. For example, this field is "free_gift", if name is `projects/*/locations/global/catalogs/default_catalog/promotions/free_gift`. The value must be a UTF-8 encoded string with a length limit of 128 characters, and match the pattern: `a-zA-Z*`. For example, id0LikeThis or ID_1_LIKE_THIS. Otherwise, an INVALID_ARGUMENT error is returned. Corresponds to Google Merchant Center property [promotion_id](https://support.google.com/merchants/answer/7050148).
},
],
"publishTime": "A String", # The timestamp when the product is published by the retailer for the first time, which indicates the freshness of the products. Note that this field is different from available_time, given it purely describes product freshness regardless of when it is available on search and recommendation.
"rating": { # The rating of a Product. # The rating of this product.
"averageRating": 3.14, # The average rating of the Product. The rating is scaled at 1-5. Otherwise, an INVALID_ARGUMENT error is returned.
"ratingCount": 42, # The total number of ratings. This value is independent of the value of rating_histogram. This value must be nonnegative. Otherwise, an INVALID_ARGUMENT error is returned.
"ratingHistogram": [ # List of rating counts per rating value (index = rating - 1). The list is empty if there is no rating. If the list is non-empty, its size is always 5. Otherwise, an INVALID_ARGUMENT error is returned. For example, [41, 14, 13, 47, 303]. It means that the Product got 41 ratings with 1 star, 14 ratings with 2 star, and so on.
42,
],
},
"retrievableFields": "A String", # Indicates which fields in the Products are returned in SearchResponse. Supported fields for all types: * audience * availability * brands * color_info * conditions * gtin * materials * name * patterns * price_info * rating * sizes * title * uri Supported fields only for Type.PRIMARY and Type.COLLECTION: * categories * description * images Supported fields only for Type.VARIANT: * Only the first image in images To mark attributes as retrievable, include paths of the form "attributes.key" where "key" is the key of a custom attribute, as specified in attributes. For Type.PRIMARY and Type.COLLECTION, the following fields are always returned in SearchResponse by default: * name For Type.VARIANT, the following fields are always returned in by default: * name * color_info Note: Returning more fields in SearchResponse can increase response payload size and serving latency. This field is deprecated. Use the retrievable site-wide control instead.
"sizes": [ # The size of the product. To represent different size systems or size types, consider using this format: [[[size_system:]size_type:]size_value]. For example, in "US:MENS:M", "US" represents size system; "MENS" represents size type; "M" represents size value. In "GIRLS:27", size system is empty; "GIRLS" represents size type; "27" represents size value. In "32 inches", both size system and size type are empty, while size value is "32 inches". A maximum of 20 values are allowed per Product. Each value must be a UTF-8 encoded string with a length limit of 128 characters. Otherwise, an INVALID_ARGUMENT error is returned. Corresponding properties: Google Merchant Center property [size](https://support.google.com/merchants/answer/6324492), [size_type](https://support.google.com/merchants/answer/6324497), and [size_system](https://support.google.com/merchants/answer/6324502). Schema.org property [Product.size](https://schema.org/size).
"A String",
],
"tags": [ # Custom tags associated with the product. At most 250 values are allowed per Product. This value must be a UTF-8 encoded string with a length limit of 1,000 characters. Otherwise, an INVALID_ARGUMENT error is returned. This tag can be used for filtering recommendation results by passing the tag as part of the PredictRequest.filter. Corresponding properties: Google Merchant Center property [custom_label_0–4](https://support.google.com/merchants/answer/6324473).
"A String",
],
"title": "A String", # Required. Product title. This field must be a UTF-8 encoded string with a length limit of 1,000 characters. Otherwise, an INVALID_ARGUMENT error is returned. Corresponding properties: Google Merchant Center property [title](https://support.google.com/merchants/answer/6324415). Schema.org property [Product.name](https://schema.org/name).
"ttl": "A String", # Input only. The TTL (time to live) of the product. Note that this is only applicable to Type.PRIMARY and Type.COLLECTION, and ignored for Type.VARIANT. In general, we suggest the users to delete the stale products explicitly, instead of using this field to determine staleness. If it is set, it must be a non-negative value, and expire_time is set as current timestamp plus ttl. The derived expire_time is returned in the output and ttl is left blank when retrieving the Product. If it is set, the product is not available for SearchService.Search after current timestamp plus ttl. However, the product can still be retrieved by ProductService.GetProduct and ProductService.ListProducts.
"type": "A String", # Immutable. The type of the product. Default to Catalog.product_level_config.ingestion_product_type if unset.
"uri": "A String", # Canonical URL directly linking to the product detail page. It is strongly recommended to provide a valid uri for the product, otherwise the service performance could be significantly degraded. This field must be a UTF-8 encoded string with a length limit of 5,000 characters. Otherwise, an INVALID_ARGUMENT error is returned. Corresponding properties: Google Merchant Center property [link](https://support.google.com/merchants/answer/6324416). Schema.org property [Offer.url](https://schema.org/url).
"variants": [ # Output only. Product variants grouped together on primary product which share similar product attributes. It's automatically grouped by primary_product_id for all the product variants. Only populated for Type.PRIMARY Products. Note: This field is OUTPUT_ONLY for ProductService.GetProduct. Do not set this field in API requests.
# Object with schema name: GoogleCloudRetailV2Product
],
},
"variantRollupValues": { # The rollup matching variant Product attributes. The key is one of the SearchRequest.variant_rollup_keys. The values are the merged and de-duplicated Product attributes. Notice that the rollup values are respect filter. For example, when filtering by "colorFamilies:ANY(\"red\")" and rollup "colorFamilies", only "red" is returned. For textual and numerical attributes, the rollup values is a list of string or double values with type google.protobuf.ListValue. For example, if there are two variants with colors "red" and "blue", the rollup values are { key: "colorFamilies" value { list_value { values { string_value: "red" } values { string_value: "blue" } } } } For FulfillmentInfo, the rollup values is a double value with type google.protobuf.Value. For example, `{key: "pickupInStore.store1" value { number_value: 10 }}` means a there are 10 variants in this product are available in the store "store1".
"a_key": "",
},
},
],
"tileNavigationResult": { # This field specifies all related information for tile navigation that will be used in client side. # This field specifies all related information for tile navigation that will be used in client side.
"tiles": [ # The current tiles that are used for tile navigation, sorted by engagement.
{ # This field specifies the tile information including an attribute key, attribute value. More fields will be added in the future, eg: product id or product counts, etc.
"productAttributeInterval": { # Product attribute name and numeric interval. # The product attribute key-numeric interval.
"interval": { # A floating point interval. # The numeric interval (e.g. [10, 20))
"exclusiveMaximum": 3.14, # Exclusive upper bound.
"exclusiveMinimum": 3.14, # Exclusive lower bound.
"maximum": 3.14, # Inclusive upper bound.
"minimum": 3.14, # Inclusive lower bound.
},
"name": "A String", # The attribute name (e.g. "length")
},
"productAttributeValue": { # Product attribute which structured by an attribute name and value. This structure is used in conversational search filters and answers. For example, if we have `name=color` and `value=red`, this means that the color is `red`. # The product attribute key-value.
"name": "A String", # The attribute name.
"value": "A String", # The attribute value.
},
"representativeProductId": "A String", # The representative product id for this tile.
},
],
},
"totalSize": 42, # The estimated total count of matched items irrespective of pagination. The count of results returned by pagination may be less than the total_size that matches.
}

search_next()

Retrieves the next page of results.

        Args:
          previous_request: The request for the previous page. (required)
          previous_response: The response from the request for the previous page. (required)

        Returns:
          A request object that you can call 'execute()' on to request the next
          page. Returns None if there are no more items in the collection.

Vertex AI Search for Retail API . projects . locations . catalogs . servingConfigs

Instance Methods

Method Details