close()
Close httplib2 connections.
+completeQuery(catalog, dataset=None, deviceType=None, enableAttributeSuggestions=None, languageCodes=None, maxSuggestions=None, query=None, visitorId=None, x__xgafv=None)
Completes the specified prefix with keyword suggestions. This feature is only available for users who have Retail Search enabled. Enable Retail Search on Cloud Console before using this feature.
getAttributesConfig(name, x__xgafv=None)
completeQuery(catalog, dataset=None, deviceType=None, languageCodes=None, maxSuggestions=None, query=None, visitorId=None, x__xgafv=None)
+ completeQuery(catalog, dataset=None, deviceType=None, enableAttributeSuggestions=None, languageCodes=None, maxSuggestions=None, query=None, visitorId=None, x__xgafv=None)
Completes the specified prefix with keyword suggestions. This feature is only available for users who have Retail Search enabled. Enable Retail Search on Cloud Console before using this feature. Args: catalog: string, Required. Catalog for which the completion is performed. Full resource name of catalog, such as `projects/*/locations/global/catalogs/default_catalog`. (required) dataset: string, Determines which dataset to use for fetching completion. "user-data" will use the imported dataset through CompletionService.ImportCompletionData. "cloud-retail" will use the dataset generated by cloud retail based on user events. If leave empty, it will use the "user-data". Current supported values: * user-data * cloud-retail: This option requires enabling auto-learning function first. See [guidelines](https://cloud.google.com/retail/docs/completion-overview#generated-completion-dataset). deviceType: string, The device type context for completion suggestions. We recommend that you leave this field empty. It can apply different suggestions on different device types, e.g. `DESKTOP`, `MOBILE`. If it is empty, the suggestions are across all device types. Supported formats: * `UNKNOWN_DEVICE_TYPE` * `DESKTOP` * `MOBILE` * A customized string starts with `OTHER_`, e.g. `OTHER_IPHONE`. + enableAttributeSuggestions: boolean, If true, attribute suggestions are enabled and provided in response. languageCodes: string, Note that this field applies for `user-data` dataset only. For requests with `cloud-retail` dataset, setting this field has no effect. The language filters applied to the output suggestions. If set, it should contain the language of the query. If not set, suggestions are returned without considering language restrictions. This is the BCP-47 language code, such as "en-US" or "sr-Latn". For more information, see [Tags for Identifying Languages](https://tools.ietf.org/html/bcp47). The maximum number of language codes is 3. (repeated) maxSuggestions: integer, Completion max suggestions. If left unset or set to 0, then will fallback to the configured value CompletionConfig.max_suggestions. The maximum allowed max suggestions is 20. If it is set higher, it will be capped by 20. query: string, Required. The query used to generate suggestions. The maximum number of allowed characters is 255. @@ -179,6 +180,13 @@Method Details
An object of the form: { # Response of the auto-complete query. + "attributeResults": { # A map of matched attribute suggestions. Current supported keys: * `brands` * `categories` + "a_key": { # Resource that represents attribute results. + "suggestions": [ # The list of suggestions for the attribute. + "A String", + ], + }, + }, "attributionToken": "A String", # A unique complete token. This should be included in the UserEvent.completion_detail for search events resulting from this completion, which enables accurate attribution of complete model performance. "completionResults": [ # Results of the matching suggestions. The result list is ordered and the first result is top suggestion. { # Resource that represents completion results. diff --git a/docs/dyn/retail_v2alpha.projects.locations.catalogs.placements.html b/docs/dyn/retail_v2alpha.projects.locations.catalogs.placements.html index e1e41eb0687..39c42b4f178 100644 --- a/docs/dyn/retail_v2alpha.projects.locations.catalogs.placements.html +++ b/docs/dyn/retail_v2alpha.projects.locations.catalogs.placements.html @@ -108,7 +108,7 @@Method Details
}, "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 an 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. + "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. @@ -413,7 +413,7 @@Method Details
], "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 20. The maximum allowed value is 300. Values above 300 will be coerced to 300. If this field is negative, an INVALID_ARGUMENT is returned. + "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. See more details at this [user guide](https://cloud.google.com/retail/docs/filter-and-order#filter). If this field is unrecognizable, an INVALID_ARGUMENT is returned. diff --git a/docs/dyn/retail_v2alpha.projects.locations.catalogs.servingConfigs.html b/docs/dyn/retail_v2alpha.projects.locations.catalogs.servingConfigs.html index c7d48c811f7..fda5e9e83be 100644 --- a/docs/dyn/retail_v2alpha.projects.locations.catalogs.servingConfigs.html +++ b/docs/dyn/retail_v2alpha.projects.locations.catalogs.servingConfigs.html @@ -583,7 +583,7 @@Method Details
}, "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 an 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. + "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. @@ -956,7 +956,7 @@Method Details
], "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 20. The maximum allowed value is 300. Values above 300 will be coerced to 300. If this field is negative, an INVALID_ARGUMENT is returned. + "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. See more details at this [user guide](https://cloud.google.com/retail/docs/filter-and-order#filter). If this field is unrecognizable, an INVALID_ARGUMENT is returned. diff --git a/docs/dyn/retail_v2beta.projects.locations.catalogs.controls.html b/docs/dyn/retail_v2beta.projects.locations.catalogs.controls.html index 2a8ca578ae0..bacef53f5c1 100644 --- a/docs/dyn/retail_v2beta.projects.locations.catalogs.controls.html +++ b/docs/dyn/retail_v2beta.projects.locations.catalogs.controls.html @@ -144,7 +144,7 @@Method Details
], "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 20. The maximum allowed value is 300. Values above 300 will be coerced to 300. If this field is negative, an INVALID_ARGUMENT is returned. + "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. }, "name": "A String", # Immutable. Fully qualified name `projects/*/locations/global/catalogs/*/controls/*` "rule": { # A rule is a condition-action pair * A condition defines when a rule is to be triggered. * An action specifies what occurs on that trigger. Currently rules only work for controls with SOLUTION_TYPE_SEARCH. # A rule control - a condition-action pair. Enacts a set action when the condition is triggered. For example: Boost "gShoe" when query full matches "Running Shoes". @@ -263,7 +263,7 @@Method Details
], "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 20. The maximum allowed value is 300. Values above 300 will be coerced to 300. If this field is negative, an INVALID_ARGUMENT is returned. + "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. }, "name": "A String", # Immutable. Fully qualified name `projects/*/locations/global/catalogs/*/controls/*` "rule": { # A rule is a condition-action pair * A condition defines when a rule is to be triggered. * An action specifies what occurs on that trigger. Currently rules only work for controls with SOLUTION_TYPE_SEARCH. # A rule control - a condition-action pair. Enacts a set action when the condition is triggered. For example: Boost "gShoe" when query full matches "Running Shoes". @@ -406,7 +406,7 @@Method Details
], "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 20. The maximum allowed value is 300. Values above 300 will be coerced to 300. If this field is negative, an INVALID_ARGUMENT is returned. + "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. }, "name": "A String", # Immutable. Fully qualified name `projects/*/locations/global/catalogs/*/controls/*` "rule": { # A rule is a condition-action pair * A condition defines when a rule is to be triggered. * An action specifies what occurs on that trigger. Currently rules only work for controls with SOLUTION_TYPE_SEARCH. # A rule control - a condition-action pair. Enacts a set action when the condition is triggered. For example: Boost "gShoe" when query full matches "Running Shoes". @@ -536,7 +536,7 @@Method Details
], "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 20. The maximum allowed value is 300. Values above 300 will be coerced to 300. If this field is negative, an INVALID_ARGUMENT is returned. + "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. }, "name": "A String", # Immutable. Fully qualified name `projects/*/locations/global/catalogs/*/controls/*` "rule": { # A rule is a condition-action pair * A condition defines when a rule is to be triggered. * An action specifies what occurs on that trigger. Currently rules only work for controls with SOLUTION_TYPE_SEARCH. # A rule control - a condition-action pair. Enacts a set action when the condition is triggered. For example: Boost "gShoe" when query full matches "Running Shoes". @@ -673,7 +673,7 @@Method Details
], "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 20. The maximum allowed value is 300. Values above 300 will be coerced to 300. If this field is negative, an INVALID_ARGUMENT is returned. + "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. }, "name": "A String", # Immutable. Fully qualified name `projects/*/locations/global/catalogs/*/controls/*` "rule": { # A rule is a condition-action pair * A condition defines when a rule is to be triggered. * An action specifies what occurs on that trigger. Currently rules only work for controls with SOLUTION_TYPE_SEARCH. # A rule control - a condition-action pair. Enacts a set action when the condition is triggered. For example: Boost "gShoe" when query full matches "Running Shoes". @@ -792,7 +792,7 @@Method Details
], "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 20. The maximum allowed value is 300. Values above 300 will be coerced to 300. If this field is negative, an INVALID_ARGUMENT is returned. + "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. }, "name": "A String", # Immutable. Fully qualified name `projects/*/locations/global/catalogs/*/controls/*` "rule": { # A rule is a condition-action pair * A condition defines when a rule is to be triggered. * An action specifies what occurs on that trigger. Currently rules only work for controls with SOLUTION_TYPE_SEARCH. # A rule control - a condition-action pair. Enacts a set action when the condition is triggered. For example: Boost "gShoe" when query full matches "Running Shoes". diff --git a/docs/dyn/retail_v2beta.projects.locations.catalogs.placements.html b/docs/dyn/retail_v2beta.projects.locations.catalogs.placements.html index 1e2622b0c9e..ea0ef73003a 100644 --- a/docs/dyn/retail_v2beta.projects.locations.catalogs.placements.html +++ b/docs/dyn/retail_v2beta.projects.locations.catalogs.placements.html @@ -108,7 +108,7 @@Method Details
}, "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 an 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. + "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. @@ -413,7 +413,7 @@Method Details
], "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 20. The maximum allowed value is 300. Values above 300 will be coerced to 300. If this field is negative, an INVALID_ARGUMENT is returned. + "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. See more details at this [user guide](https://cloud.google.com/retail/docs/filter-and-order#filter). If this field is unrecognizable, an INVALID_ARGUMENT is returned. diff --git a/docs/dyn/retail_v2beta.projects.locations.catalogs.servingConfigs.html b/docs/dyn/retail_v2beta.projects.locations.catalogs.servingConfigs.html index 3fd85ad119a..ea7860e5889 100644 --- a/docs/dyn/retail_v2beta.projects.locations.catalogs.servingConfigs.html +++ b/docs/dyn/retail_v2beta.projects.locations.catalogs.servingConfigs.html @@ -583,7 +583,7 @@Method Details
}, "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 an 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. + "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. @@ -956,7 +956,7 @@Method Details
], "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 20. The maximum allowed value is 300. Values above 300 will be coerced to 300. If this field is negative, an INVALID_ARGUMENT is returned. + "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. See more details at this [user guide](https://cloud.google.com/retail/docs/filter-and-order#filter). If this field is unrecognizable, an INVALID_ARGUMENT is returned. diff --git a/googleapiclient/discovery_cache/documents/retail.v2.json b/googleapiclient/discovery_cache/documents/retail.v2.json index 14a81222faa..07b392ff7df 100644 --- a/googleapiclient/discovery_cache/documents/retail.v2.json +++ b/googleapiclient/discovery_cache/documents/retail.v2.json @@ -1780,7 +1780,7 @@ } } }, - "revision": "20221014", + "revision": "20221028", "rootUrl": "https://retail.googleapis.com/", "schemas": { "GoogleApiHttpBody": { @@ -2939,7 +2939,7 @@ "additionalProperties": { "type": "any" }, - "description": "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 an 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.", + "description": "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.", "type": "object" }, "userEvent": { @@ -3962,7 +3962,7 @@ "description": "Required. The facet key specification." }, "limit": { - "description": "Maximum of facet values that should be returned for this facet. If unspecified, defaults to 20. The maximum allowed value is 300. Values above 300 will be coerced to 300. If this field is negative, an INVALID_ARGUMENT is returned.", + "description": "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.", "format": "int32", "type": "integer" } diff --git a/googleapiclient/discovery_cache/documents/retail.v2alpha.json b/googleapiclient/discovery_cache/documents/retail.v2alpha.json index 5e7eeb9af6b..c223ca2eb83 100644 --- a/googleapiclient/discovery_cache/documents/retail.v2alpha.json +++ b/googleapiclient/discovery_cache/documents/retail.v2alpha.json @@ -137,6 +137,11 @@ "location": "query", "type": "string" }, + "enableAttributeSuggestions": { + "description": "If true, attribute suggestions are enabled and provided in response.", + "location": "query", + "type": "boolean" + }, "languageCodes": { "description": "Note that this field applies for `user-data` dataset only. For requests with `cloud-retail` dataset, setting this field has no effect. The language filters applied to the output suggestions. If set, it should contain the language of the query. If not set, suggestions are returned without considering language restrictions. This is the BCP-47 language code, such as \"en-US\" or \"sr-Latn\". For more information, see [Tags for Identifying Languages](https://tools.ietf.org/html/bcp47). The maximum number of language codes is 3.", "location": "query", @@ -2090,7 +2095,7 @@ } } }, - "revision": "20221014", + "revision": "20221028", "rootUrl": "https://retail.googleapis.com/", "schemas": { "GoogleApiHttpBody": { @@ -2841,6 +2846,13 @@ "description": "Response of the auto-complete query.", "id": "GoogleCloudRetailV2alphaCompleteQueryResponse", "properties": { + "attributeResults": { + "additionalProperties": { + "$ref": "GoogleCloudRetailV2alphaCompleteQueryResponseAttributeResult" + }, + "description": "A map of matched attribute suggestions. Current supported keys: * `brands` * `categories`", + "type": "object" + }, "attributionToken": { "description": "A unique complete token. This should be included in the UserEvent.completion_detail for search events resulting from this completion, which enables accurate attribution of complete model performance.", "type": "string" @@ -2862,6 +2874,20 @@ }, "type": "object" }, + "GoogleCloudRetailV2alphaCompleteQueryResponseAttributeResult": { + "description": "Resource that represents attribute results.", + "id": "GoogleCloudRetailV2alphaCompleteQueryResponseAttributeResult", + "properties": { + "suggestions": { + "description": "The list of suggestions for the attribute.", + "items": { + "type": "string" + }, + "type": "array" + } + }, + "type": "object" + }, "GoogleCloudRetailV2alphaCompleteQueryResponseCompletionResult": { "description": "Resource that represents completion results.", "id": "GoogleCloudRetailV2alphaCompleteQueryResponseCompletionResult", @@ -3971,7 +3997,7 @@ "additionalProperties": { "type": "any" }, - "description": "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 an 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.", + "description": "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.", "type": "object" }, "userEvent": { @@ -5079,7 +5105,7 @@ "description": "Required. The facet key specification." }, "limit": { - "description": "Maximum of facet values that should be returned for this facet. If unspecified, defaults to 20. The maximum allowed value is 300. Values above 300 will be coerced to 300. If this field is negative, an INVALID_ARGUMENT is returned.", + "description": "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.", "format": "int32", "type": "integer" } diff --git a/googleapiclient/discovery_cache/documents/retail.v2beta.json b/googleapiclient/discovery_cache/documents/retail.v2beta.json index 36948c5a9a5..69478eded4c 100644 --- a/googleapiclient/discovery_cache/documents/retail.v2beta.json +++ b/googleapiclient/discovery_cache/documents/retail.v2beta.json @@ -2024,7 +2024,7 @@ } } }, - "revision": "20221014", + "revision": "20221028", "rootUrl": "https://retail.googleapis.com/", "schemas": { "GoogleApiHttpBody": { @@ -4463,7 +4463,7 @@ "additionalProperties": { "type": "any" }, - "description": "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 an 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.", + "description": "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.", "type": "object" }, "userEvent": { @@ -5492,7 +5492,7 @@ "description": "Required. The facet key specification." }, "limit": { - "description": "Maximum of facet values that should be returned for this facet. If unspecified, defaults to 20. The maximum allowed value is 300. Values above 300 will be coerced to 300. If this field is negative, an INVALID_ARGUMENT is returned.", + "description": "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.", "format": "int32", "type": "integer" }