Amazon Connect Wisdom Service

2022/04/21 - Amazon Connect Wisdom Service - 1 updated api methods

Changes  This release updates the GetRecommendations API to include a trigger event list for classifying and grouping recommendations.

GetRecommendations (updated) Link ΒΆ
Changes (response)
{'recommendations': {'type': 'KNOWLEDGE_CONTENT'},
 'triggers': [{'data': {'query': {'text': 'string'}},
               'id': 'string',
               'recommendationIds': ['string'],
               'source': 'ISSUE_DETECTION | RULE_EVALUATION | OTHER',
               'type': 'QUERY'}]}

Retrieves recommendations for the specified session. To avoid retrieving the same recommendations in subsequent calls, use NotifyRecommendationsReceived . This API supports long-polling behavior with the waitTimeSeconds parameter. Short poll is the default behavior and only returns recommendations already available. To perform a manual query against an assistant, use QueryAssistant .

See also: AWS API Documentation

Request Syntax

client.get_recommendations(
    assistantId='string',
    maxResults=123,
    sessionId='string',
    waitTimeSeconds=123
)
type assistantId

string

param assistantId

[REQUIRED]

The identifier of the Wisdom assistant. Can be either the ID or the ARN. URLs cannot contain the ARN.

type maxResults

integer

param maxResults

The maximum number of results to return per page.

type sessionId

string

param sessionId

[REQUIRED]

The identifier of the session. Can be either the ID or the ARN. URLs cannot contain the ARN.

type waitTimeSeconds

integer

param waitTimeSeconds

The duration (in seconds) for which the call waits for a recommendation to be made available before returning. If a recommendation is available, the call returns sooner than WaitTimeSeconds . If no messages are available and the wait time expires, the call returns successfully with an empty list.

rtype

dict

returns

Response Syntax

{
    'recommendations': [
        {
            'document': {
                'contentReference': {
                    'contentArn': 'string',
                    'contentId': 'string',
                    'knowledgeBaseArn': 'string',
                    'knowledgeBaseId': 'string'
                },
                'excerpt': {
                    'highlights': [
                        {
                            'beginOffsetInclusive': 123,
                            'endOffsetExclusive': 123
                        },
                    ],
                    'text': 'string'
                },
                'title': {
                    'highlights': [
                        {
                            'beginOffsetInclusive': 123,
                            'endOffsetExclusive': 123
                        },
                    ],
                    'text': 'string'
                }
            },
            'recommendationId': 'string',
            'relevanceLevel': 'HIGH'|'MEDIUM'|'LOW',
            'relevanceScore': 123.0,
            'type': 'KNOWLEDGE_CONTENT'
        },
    ],
    'triggers': [
        {
            'data': {
                'query': {
                    'text': 'string'
                }
            },
            'id': 'string',
            'recommendationIds': [
                'string',
            ],
            'source': 'ISSUE_DETECTION'|'RULE_EVALUATION'|'OTHER',
            'type': 'QUERY'
        },
    ]
}

Response Structure

  • (dict) --

    • recommendations (list) --

      The recommendations.

      • (dict) --

        Information about the recommendation.

        • document (dict) --

          The recommended document.

          • contentReference (dict) --

            A reference to the content resource.

            • contentArn (string) --

              The Amazon Resource Name (ARN) of the content.

            • contentId (string) --

              The identifier of the content.

            • knowledgeBaseArn (string) --

              The Amazon Resource Name (ARN) of the knowledge base.

            • knowledgeBaseId (string) --

              The identifier of the knowledge base.

          • excerpt (dict) --

            The excerpt from the document.

            • highlights (list) --

              Highlights in the document text.

              • (dict) --

                Offset specification to describe highlighting of document excerpts for rendering search results and recommendations.

                • beginOffsetInclusive (integer) --

                  The offset for the start of the highlight.

                • endOffsetExclusive (integer) --

                  The offset for the end of the highlight.

            • text (string) --

              Text in the document.

          • title (dict) --

            The title of the document.

            • highlights (list) --

              Highlights in the document text.

              • (dict) --

                Offset specification to describe highlighting of document excerpts for rendering search results and recommendations.

                • beginOffsetInclusive (integer) --

                  The offset for the start of the highlight.

                • endOffsetExclusive (integer) --

                  The offset for the end of the highlight.

            • text (string) --

              Text in the document.

        • recommendationId (string) --

          The identifier of the recommendation.

        • relevanceLevel (string) --

          The relevance level of the recommendation.

        • relevanceScore (float) --

          The relevance score of the recommendation.

        • type (string) --

          The type of recommendation.

    • triggers (list) --

      The triggers corresponding to recommendations.

      • (dict) --

        A recommendation trigger provides context on the event that produced the referenced recommendations. Recommendations are only referenced in recommendationIds by a single RecommendationTrigger.

        • data (dict) --

          A union type containing information related to the trigger.

          • query (dict) --

            Data associated with the QUERY RecommendationTriggerType.

            • text (string) --

              The text associated with the recommendation trigger.

        • id (string) --

          The identifier of the recommendation trigger.

        • recommendationIds (list) --

          The identifiers of the recommendations.

          • (string) --

        • source (string) --

          The source of the recommendation trigger.

          • ISSUE_DETECTION: The corresponding recommendations were triggered by a Contact Lens issue.

          • RULE_EVALUATION: The corresponding recommendations were triggered by a Contact Lens rule.

        • type (string) --

          The type of recommendation trigger.