Amazon Connect Wisdom Service

{'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.