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<h1><a href="retail_v2.html">Vertex AI Search for commerce API</a> . <a href="retail_v2.projects.html">projects</a> . <a href="retail_v2.projects.locations.html">locations</a> . <a href="retail_v2.projects.locations.catalogs.html">catalogs</a> . <a href="retail_v2.projects.locations.catalogs.generativeQuestion.html">generativeQuestion</a></h1>
<h2>Instance Methods</h2>
<p class="toc_element">
<code><a href="#batchUpdate">batchUpdate(parent, body=None, x__xgafv=None)</a></code></p>
<p class="firstline">Allows management of multiple questions.</p>
<p class="toc_element">
<code><a href="#close">close()</a></code></p>
<p class="firstline">Close httplib2 connections.</p>
<h3>Method Details</h3>
<div class="method">
<code class="details" id="batchUpdate">batchUpdate(parent, body=None, x__xgafv=None)</code>
<pre>Allows management of multiple questions.
Args:
parent: string, Optional. Resource name of the parent catalog. Format: projects/{project}/locations/{location}/catalogs/{catalog} (required)
body: object, The request body.
The object takes the form of:
{ # Request for BatchUpdateGenerativeQuestionConfig method.
"requests": [ # Required. The updates question configs.
{ # Request for UpdateGenerativeQuestionConfig method.
"generativeQuestionConfig": { # Configuration for a single generated question. # Required. The question to update.
"allowedInConversation": True or False, # Optional. Whether the question is asked at serving time.
"catalog": "A String", # Required. Resource name of the catalog. Format: projects/{project}/locations/{location}/catalogs/{catalog}
"exampleValues": [ # Output only. Values that can be used to answer the question.
"A String",
],
"facet": "A String", # Required. The facet to which the question is associated.
"finalQuestion": "A String", # Optional. The question that will be used at serving time. Question can have a max length of 300 bytes. When not populated, generated_question should be used.
"frequency": 3.14, # Output only. The ratio of how often a question was asked.
"generatedQuestion": "A String", # Output only. The LLM generated question.
},
"updateMask": "A String", # Optional. Indicates which fields in the provided GenerativeQuestionConfig to update. The following are NOT supported: * GenerativeQuestionConfig.frequency If not set or empty, 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:
{ # Aggregated response for UpdateGenerativeQuestionConfig method.
"generativeQuestionConfigs": [ # Optional. The updates question configs.
{ # Configuration for a single generated question.
"allowedInConversation": True or False, # Optional. Whether the question is asked at serving time.
"catalog": "A String", # Required. Resource name of the catalog. Format: projects/{project}/locations/{location}/catalogs/{catalog}
"exampleValues": [ # Output only. Values that can be used to answer the question.
"A String",
],
"facet": "A String", # Required. The facet to which the question is associated.
"finalQuestion": "A String", # Optional. The question that will be used at serving time. Question can have a max length of 300 bytes. When not populated, generated_question should be used.
"frequency": 3.14, # Output only. The ratio of how often a question was asked.
"generatedQuestion": "A String", # Output only. The LLM generated question.
},
],
}</pre>
</div>
<div class="method">
<code class="details" id="close">close()</code>
<pre>Close httplib2 connections.</pre>
</div>
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