PersonalizeEvents

Table of Contents

• PersonalizeEvents
  • Client
  • Paginators

Client

class PersonalizeEvents.Client

A low-level client representing Amazon Personalize Events

Amazon Personalize can consume real-time user event data, such as stream or click data, and use it for model training either alone or combined with historical data. For more information see recording-events .

import boto3

client = boto3.client('personalize-events')

These are the available methods:

• can_paginate()
• generate_presigned_url()
• get_paginator()
• get_waiter()
• put_events()
• put_items()
• put_users()

can_paginate(operation_name)

Check if an operation can be paginated.

Parameters

operation_name (string) -- The operation name. This is the same name as the method name on the client. For example, if the method name is create_foo, and you'd normally invoke the operation as client.create_foo(**kwargs), if the create_foo operation can be paginated, you can use the call client.get_paginator("create_foo").

Returns

True if the operation can be paginated, False otherwise.

generate_presigned_url(ClientMethod, Params=None, ExpiresIn=3600, HttpMethod=None)

Generate a presigned url given a client, its method, and arguments

Parameters

• ClientMethod (string) -- The client method to presign for
• Params (dict) -- The parameters normally passed to ClientMethod.
• ExpiresIn (int) -- The number of seconds the presigned url is valid for. By default it expires in an hour (3600 seconds)
• HttpMethod (string) -- The http method to use on the generated url. By default, the http method is whatever is used in the method's model.

Returns

The presigned url

get_paginator(operation_name)

Create a paginator for an operation.

Parameters

operation_name (string) -- The operation name. This is the same name as the method name on the client. For example, if the method name is create_foo, and you'd normally invoke the operation as client.create_foo(**kwargs), if the create_foo operation can be paginated, you can use the call client.get_paginator("create_foo").

Raises OperationNotPageableError

Raised if the operation is not pageable. You can use the client.can_paginate method to check if an operation is pageable.

Return type

L{botocore.paginate.Paginator}

Returns

A paginator object.

get_waiter(waiter_name)

Returns an object that can wait for some condition.

Parameters

waiter_name (str) -- The name of the waiter to get. See the waiters section of the service docs for a list of available waiters.

Returns

The specified waiter object.

Return type

botocore.waiter.Waiter

put_events(**kwargs)

Records user interaction event data. For more information see event-record-api .

See also: AWS API Documentation

Request Syntax

response = client.put_events(
    trackingId='string',
    userId='string',
    sessionId='string',
    eventList=[
        {
            'eventId': 'string',
            'eventType': 'string',
            'eventValue': ...,
            'itemId': 'string',
            'properties': 'string',
            'sentAt': datetime(2015, 1, 1),
            'recommendationId': 'string',
            'impression': [
                'string',
            ]
        },
    ]
)

Parameters

• trackingId (string) --

  [REQUIRED]

  The tracking ID for the event. The ID is generated by a call to the CreateEventTracker API.

• userId (string) -- The user associated with the event.
• sessionId (string) --

  [REQUIRED]

  The session ID associated with the user's visit. Your application generates the sessionId when a user first visits your website or uses your application. Amazon Personalize uses the sessionId to associate events with the user before they log in. For more information see event-record-api .

• eventList (list) --

  [REQUIRED]

  A list of event data from the session.

  • (dict) --

    Represents user interaction event information sent using the PutEvents API.

    • eventId (string) --

      An ID associated with the event. If an event ID is not provided, Amazon Personalize generates a unique ID for the event. An event ID is not used as an input to the model. Amazon Personalize uses the event ID to distinquish unique events. Any subsequent events after the first with the same event ID are not used in model training.

    • eventType (string) -- [REQUIRED]

      The type of event, such as click or download. This property corresponds to the EVENT_TYPE field of your Interactions schema and depends on the types of events you are tracking.

    • eventValue (float) --

      The event value that corresponds to the EVENT_VALUE field of the Interactions schema.

    • itemId (string) --

      The item ID key that corresponds to the ITEM_ID field of the Interactions schema.

    • properties (string) --

      A string map of event-specific data that you might choose to record. For example, if a user rates a movie on your site, other than movie ID (itemId ) and rating (eventValue ) , you might also send the number of movie ratings made by the user.

      Each item in the map consists of a key-value pair. For example,

      {"numberOfRatings": "12"}

      The keys use camel case names that match the fields in the Interactions schema. In the above example, the numberOfRatings would match the 'NUMBER_OF_RATINGS' field defined in the Interactions schema.

    • sentAt (datetime) -- [REQUIRED]

      The timestamp (in Unix time) on the client side when the event occurred.

    • recommendationId (string) --

      The ID of the recommendation.

    • impression (list) --

      A list of item IDs that represents the sequence of items you have shown the user. For example, ["itemId1", "itemId2", "itemId3"] .

      • (string) --

Returns

None

Exceptions

• PersonalizeEvents.Client.exceptions.InvalidInputException

put_items(**kwargs)

Adds one or more items to an Items dataset. For more information see importing-items .

See also: AWS API Documentation

Request Syntax

response = client.put_items(
    datasetArn='string',
    items=[
        {
            'itemId': 'string',
            'properties': 'string'
        },
    ]
)

Parameters

• datasetArn (string) --

  [REQUIRED]

  The Amazon Resource Number (ARN) of the Items dataset you are adding the item or items to.

• items (list) --

  [REQUIRED]

  A list of item data.

  • (dict) --

    Represents item metadata added to an Items dataset using the PutItems API.

    • itemId (string) -- [REQUIRED]

      The ID associated with the item.

    • properties (string) --

      A string map of item-specific metadata. Each element in the map consists of a key-value pair. For example,

      {"numberOfRatings": "12"}

      The keys use camel case names that match the fields in the Items schema. In the above example, the numberOfRatings would match the 'NUMBER_OF_RATINGS' field defined in the Items schema.

Returns

None

Exceptions

• PersonalizeEvents.Client.exceptions.InvalidInputException
• PersonalizeEvents.Client.exceptions.ResourceNotFoundException

put_users(**kwargs)

Adds one or more users to a Users dataset. For more information see importing-users .

See also: AWS API Documentation

Request Syntax

response = client.put_users(
    datasetArn='string',
    users=[
        {
            'userId': 'string',
            'properties': 'string'
        },
    ]
)

Parameters

• datasetArn (string) --

  [REQUIRED]

  The Amazon Resource Number (ARN) of the Users dataset you are adding the user or users to.

• users (list) --

  [REQUIRED]

  A list of user data.

  • (dict) --

    Represents user metadata added to a Users dataset using the PutUsers API.

    • userId (string) -- [REQUIRED]

      The ID associated with the user.

    • properties (string) --

      A string map of user-specific metadata. Each element in the map consists of a key-value pair. For example,

      {"numberOfVideosWatched": "45"}

      The keys use camel case names that match the fields in the Users schema. In the above example, the numberOfVideosWatched would match the 'NUMBER_OF_VIDEOS_WATCHED' field defined in the Users schema.

Returns

None

Exceptions

• PersonalizeEvents.Client.exceptions.InvalidInputException
• PersonalizeEvents.Client.exceptions.ResourceNotFoundException

Paginators

The available paginators are: