amazonka-personalize-events-2.0: Amazon Personalize Events SDK.
Copyright(c) 2013-2023 Brendan Hay
LicenseMozilla Public License, v. 2.0.
MaintainerBrendan Hay
Stabilityauto-generated
Portabilitynon-portable (GHC extensions)
Safe HaskellSafe-Inferred
LanguageHaskell2010

Amazonka.PersonalizeEvents

Description

Derived from API version 2018-03-22 of the AWS service descriptions, licensed under Apache 2.0.

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.

Synopsis

Service Configuration

defaultService :: Service Source #

API version 2018-03-22 of the Amazon Personalize Events SDK configuration.

Errors

Error matchers are designed for use with the functions provided by Control.Exception.Lens. This allows catching (and rethrowing) service specific errors returned by PersonalizeEvents.

InvalidInputException

_InvalidInputException :: AsError a => Fold a ServiceError Source #

Provide a valid value for the field or parameter.

ResourceInUseException

_ResourceInUseException :: AsError a => Fold a ServiceError Source #

The specified resource is in use.

ResourceNotFoundException

_ResourceNotFoundException :: AsError a => Fold a ServiceError Source #

Could not find the specified resource.

Waiters

Waiters poll by repeatedly sending a request until some remote success condition configured by the Wait specification is fulfilled. The Wait specification determines how many attempts should be made, in addition to delay and retry strategies.

Operations

Some AWS operations return results that are incomplete and require subsequent requests in order to obtain the entire result set. The process of sending subsequent requests to continue where a previous request left off is called pagination. For example, the ListObjects operation of Amazon S3 returns up to 1000 objects at a time, and you must send subsequent requests with the appropriate Marker in order to retrieve the next page of results.

Operations that have an AWSPager instance can transparently perform subsequent requests, correctly setting Markers and other request facets to iterate through the entire result set of a truncated API operation. Operations which support this have an additional note in the documentation.

Many operations have the ability to filter results on the server side. See the individual operation parameters for details.

PutEvents

data PutEvents Source #

See: newPutEvents smart constructor.

Instances

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ToJSON PutEvents Source # 
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ToHeaders PutEvents Source # 
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toHeaders :: PutEvents -> [Header] #

ToPath PutEvents Source # 
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ToQuery PutEvents Source # 
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AWSRequest PutEvents Source # 
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type AWSResponse PutEvents #

Generic PutEvents Source # 
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type Rep PutEvents :: Type -> Type #

Show PutEvents Source # 
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NFData PutEvents Source # 
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rnf :: PutEvents -> () #

Eq PutEvents Source # 
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Hashable PutEvents Source # 
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type AWSResponse PutEvents Source # 
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type Rep PutEvents Source # 
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type Rep PutEvents = D1 ('MetaData "PutEvents" "Amazonka.PersonalizeEvents.PutEvents" "amazonka-personalize-events-2.0-Fi47jZEjr1NizLD1LiiPl" 'False) (C1 ('MetaCons "PutEvents'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "userId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (Sensitive Text))) :*: S1 ('MetaSel ('Just "trackingId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)) :*: (S1 ('MetaSel ('Just "sessionId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "eventList") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (NonEmpty (Sensitive Event))))))

newPutEvents Source #

Create a value of PutEvents with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

PutEvents, putEvents_userId - The user associated with the event.

$sel:trackingId:PutEvents', putEvents_trackingId - The tracking ID for the event. The ID is generated by a call to the CreateEventTracker API.

$sel:sessionId:PutEvents', putEvents_sessionId - 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 Recording Events.

$sel:eventList:PutEvents', putEvents_eventList - A list of event data from the session.

data PutEventsResponse Source #

See: newPutEventsResponse smart constructor.

Constructors

PutEventsResponse' 

Instances

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Generic PutEventsResponse Source # 
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type Rep PutEventsResponse :: Type -> Type #

Read PutEventsResponse Source # 
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Show PutEventsResponse Source # 
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NFData PutEventsResponse Source # 
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rnf :: PutEventsResponse -> () #

Eq PutEventsResponse Source # 
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type Rep PutEventsResponse Source # 
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type Rep PutEventsResponse = D1 ('MetaData "PutEventsResponse" "Amazonka.PersonalizeEvents.PutEvents" "amazonka-personalize-events-2.0-Fi47jZEjr1NizLD1LiiPl" 'False) (C1 ('MetaCons "PutEventsResponse'" 'PrefixI 'False) (U1 :: Type -> Type))

newPutEventsResponse :: PutEventsResponse Source #

Create a value of PutEventsResponse with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

PutItems

data PutItems Source #

See: newPutItems smart constructor.

Constructors

PutItems' Text (NonEmpty Item) 

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ToJSON PutItems Source # 
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ToHeaders PutItems Source # 
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toHeaders :: PutItems -> [Header] #

ToPath PutItems Source # 
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ToQuery PutItems Source # 
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AWSRequest PutItems Source # 
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type AWSResponse PutItems #

Generic PutItems Source # 
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type Rep PutItems :: Type -> Type #

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from :: PutItems -> Rep PutItems x #

to :: Rep PutItems x -> PutItems #

Show PutItems Source # 
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NFData PutItems Source # 
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rnf :: PutItems -> () #

Eq PutItems Source # 
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Hashable PutItems Source # 
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hashWithSalt :: Int -> PutItems -> Int #

hash :: PutItems -> Int #

type AWSResponse PutItems Source # 
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type Rep PutItems Source # 
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type Rep PutItems = D1 ('MetaData "PutItems" "Amazonka.PersonalizeEvents.PutItems" "amazonka-personalize-events-2.0-Fi47jZEjr1NizLD1LiiPl" 'False) (C1 ('MetaCons "PutItems'" 'PrefixI 'True) (S1 ('MetaSel ('Just "datasetArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "items") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (NonEmpty Item))))

newPutItems Source #

Create a value of PutItems with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:datasetArn:PutItems', putItems_datasetArn - The Amazon Resource Name (ARN) of the Items dataset you are adding the item or items to.

$sel:items:PutItems', putItems_items - A list of item data.

data PutItemsResponse Source #

See: newPutItemsResponse smart constructor.

Constructors

PutItemsResponse' 

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Generic PutItemsResponse Source # 
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type Rep PutItemsResponse :: Type -> Type #

Read PutItemsResponse Source # 
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Show PutItemsResponse Source # 
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NFData PutItemsResponse Source # 
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rnf :: PutItemsResponse -> () #

Eq PutItemsResponse Source # 
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type Rep PutItemsResponse Source # 
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type Rep PutItemsResponse = D1 ('MetaData "PutItemsResponse" "Amazonka.PersonalizeEvents.PutItems" "amazonka-personalize-events-2.0-Fi47jZEjr1NizLD1LiiPl" 'False) (C1 ('MetaCons "PutItemsResponse'" 'PrefixI 'False) (U1 :: Type -> Type))

newPutItemsResponse :: PutItemsResponse Source #

Create a value of PutItemsResponse with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

PutUsers

data PutUsers Source #

See: newPutUsers smart constructor.

Constructors

PutUsers' Text (NonEmpty User) 

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ToJSON PutUsers Source # 
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ToHeaders PutUsers Source # 
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toHeaders :: PutUsers -> [Header] #

ToPath PutUsers Source # 
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ToQuery PutUsers Source # 
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AWSRequest PutUsers Source # 
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type AWSResponse PutUsers #

Generic PutUsers Source # 
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type Rep PutUsers :: Type -> Type #

Methods

from :: PutUsers -> Rep PutUsers x #

to :: Rep PutUsers x -> PutUsers #

Show PutUsers Source # 
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NFData PutUsers Source # 
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rnf :: PutUsers -> () #

Eq PutUsers Source # 
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Hashable PutUsers Source # 
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hashWithSalt :: Int -> PutUsers -> Int #

hash :: PutUsers -> Int #

type AWSResponse PutUsers Source # 
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type Rep PutUsers Source # 
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type Rep PutUsers = D1 ('MetaData "PutUsers" "Amazonka.PersonalizeEvents.PutUsers" "amazonka-personalize-events-2.0-Fi47jZEjr1NizLD1LiiPl" 'False) (C1 ('MetaCons "PutUsers'" 'PrefixI 'True) (S1 ('MetaSel ('Just "datasetArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "users") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (NonEmpty User))))

newPutUsers Source #

Create a value of PutUsers with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:datasetArn:PutUsers', putUsers_datasetArn - The Amazon Resource Name (ARN) of the Users dataset you are adding the user or users to.

$sel:users:PutUsers', putUsers_users - A list of user data.

data PutUsersResponse Source #

See: newPutUsersResponse smart constructor.

Constructors

PutUsersResponse' 

Instances

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Generic PutUsersResponse Source # 
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type Rep PutUsersResponse :: Type -> Type #

Read PutUsersResponse Source # 
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Show PutUsersResponse Source # 
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NFData PutUsersResponse Source # 
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rnf :: PutUsersResponse -> () #

Eq PutUsersResponse Source # 
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type Rep PutUsersResponse Source # 
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type Rep PutUsersResponse = D1 ('MetaData "PutUsersResponse" "Amazonka.PersonalizeEvents.PutUsers" "amazonka-personalize-events-2.0-Fi47jZEjr1NizLD1LiiPl" 'False) (C1 ('MetaCons "PutUsersResponse'" 'PrefixI 'False) (U1 :: Type -> Type))

newPutUsersResponse :: PutUsersResponse Source #

Create a value of PutUsersResponse with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

Types

Event

data Event Source #

Represents user interaction event information sent using the PutEvents API.

See: newEvent smart constructor.

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ToJSON Event Source # 
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Generic Event Source # 
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type Rep Event :: Type -> Type #

Methods

from :: Event -> Rep Event x #

to :: Rep Event x -> Event #

Show Event Source # 
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showsPrec :: Int -> Event -> ShowS #

show :: Event -> String #

showList :: [Event] -> ShowS #

NFData Event Source # 
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rnf :: Event -> () #

Eq Event Source # 
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(==) :: Event -> Event -> Bool #

(/=) :: Event -> Event -> Bool #

Hashable Event Source # 
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hashWithSalt :: Int -> Event -> Int #

hash :: Event -> Int #

type Rep Event Source # 
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newEvent Source #

Create a value of Event with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:eventId:Event', event_eventId - 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.

$sel:eventValue:Event', event_eventValue - The event value that corresponds to the EVENT_VALUE field of the Interactions schema.

$sel:impression:Event', event_impression - A list of item IDs that represents the sequence of items you have shown the user. For example, ["itemId1", "itemId2", "itemId3"]. Provide a list of items to manually record impressions data for an event. For more information on recording impressions data, see Recording impressions data.

$sel:itemId:Event', event_itemId - The item ID key that corresponds to the ITEM_ID field of the Interactions schema.

$sel:metricAttribution:Event', event_metricAttribution - Contains information about the metric attribution associated with an event. For more information about metric attributions, see Measuring impact of recommendations.

$sel:properties:Event', event_properties - 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.

$sel:recommendationId:Event', event_recommendationId - The ID of the list of recommendations that contains the item the user interacted with. Provide a recommendationId to have Amazon Personalize implicitly record the recommendations you show your user as impressions data. Or provide a recommendationId if you use a metric attribution to measure the impact of recommendations.

For more information on recording impressions data, see Recording impressions data. For more information on creating a metric attribution see Measuring impact of recommendations.

$sel:eventType:Event', event_eventType - 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.

$sel:sentAt:Event', event_sentAt - The timestamp (in Unix time) on the client side when the event occurred.

Item

data Item Source #

Represents item metadata added to an Items dataset using the PutItems API. For more information see Importing Items Incrementally.

See: newItem smart constructor.

Constructors

Item' (Maybe (Sensitive Text)) Text 

Instances

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ToJSON Item Source # 
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Generic Item Source # 
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type Rep Item :: Type -> Type #

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from :: Item -> Rep Item x #

to :: Rep Item x -> Item #

Show Item Source # 
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showsPrec :: Int -> Item -> ShowS #

show :: Item -> String #

showList :: [Item] -> ShowS #

NFData Item Source # 
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rnf :: Item -> () #

Eq Item Source # 
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(==) :: Item -> Item -> Bool #

(/=) :: Item -> Item -> Bool #

Hashable Item Source # 
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hashWithSalt :: Int -> Item -> Int #

hash :: Item -> Int #

type Rep Item Source # 
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type Rep Item = D1 ('MetaData "Item" "Amazonka.PersonalizeEvents.Types.Item" "amazonka-personalize-events-2.0-Fi47jZEjr1NizLD1LiiPl" 'False) (C1 ('MetaCons "Item'" 'PrefixI 'True) (S1 ('MetaSel ('Just "properties") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (Sensitive Text))) :*: S1 ('MetaSel ('Just "itemId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newItem Source #

Arguments

:: Text

$sel:itemId:Item'

-> Item 

Create a value of Item with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:properties:Item', item_properties - 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 schema for the Items dataset. In the previous example, the numberOfRatings matches the 'NUMBER_OF_RATINGS' field defined in the Items schema. For categorical string data, to include multiple categories for a single item, separate each category with a pipe separator (|). For example, \"Horror|Action\".

$sel:itemId:Item', item_itemId - The ID associated with the item.

MetricAttribution

data MetricAttribution Source #

Contains information about a metric attribution associated with an event. For more information about metric attributions, see Measuring impact of recommendations.

See: newMetricAttribution smart constructor.

Constructors

MetricAttribution' Text 

Instances

Instances details
ToJSON MetricAttribution Source # 
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Generic MetricAttribution Source # 
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type Rep MetricAttribution :: Type -> Type #

Read MetricAttribution Source # 
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Show MetricAttribution Source # 
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NFData MetricAttribution Source # 
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rnf :: MetricAttribution -> () #

Eq MetricAttribution Source # 
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Hashable MetricAttribution Source # 
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type Rep MetricAttribution Source # 
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Defined in Amazonka.PersonalizeEvents.Types.MetricAttribution

type Rep MetricAttribution = D1 ('MetaData "MetricAttribution" "Amazonka.PersonalizeEvents.Types.MetricAttribution" "amazonka-personalize-events-2.0-Fi47jZEjr1NizLD1LiiPl" 'False) (C1 ('MetaCons "MetricAttribution'" 'PrefixI 'True) (S1 ('MetaSel ('Just "eventAttributionSource") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newMetricAttribution Source #

Create a value of MetricAttribution with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:eventAttributionSource:MetricAttribution', metricAttribution_eventAttributionSource - The source of the event, such as a third party.

User

data User Source #

Represents user metadata added to a Users dataset using the PutUsers API. For more information see Importing Users Incrementally.

See: newUser smart constructor.

Constructors

User' (Maybe (Sensitive Text)) Text 

Instances

Instances details
ToJSON User Source # 
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Generic User Source # 
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type Rep User :: Type -> Type #

Methods

from :: User -> Rep User x #

to :: Rep User x -> User #

Show User Source # 
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showsPrec :: Int -> User -> ShowS #

show :: User -> String #

showList :: [User] -> ShowS #

NFData User Source # 
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rnf :: User -> () #

Eq User Source # 
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(==) :: User -> User -> Bool #

(/=) :: User -> User -> Bool #

Hashable User Source # 
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hashWithSalt :: Int -> User -> Int #

hash :: User -> Int #

type Rep User Source # 
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Defined in Amazonka.PersonalizeEvents.Types.User

type Rep User = D1 ('MetaData "User" "Amazonka.PersonalizeEvents.Types.User" "amazonka-personalize-events-2.0-Fi47jZEjr1NizLD1LiiPl" 'False) (C1 ('MetaCons "User'" 'PrefixI 'True) (S1 ('MetaSel ('Just "properties") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (Sensitive Text))) :*: S1 ('MetaSel ('Just "userId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newUser Source #

Arguments

:: Text

$sel:userId:User'

-> User 

Create a value of User with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:properties:User', user_properties - 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 schema for the Users dataset. In the previous example, the numberOfVideosWatched matches the 'NUMBER_OF_VIDEOS_WATCHED' field defined in the Users schema. For categorical string data, to include multiple categories for a single user, separate each category with a pipe separator (|). For example, \"Member|Frequent shopper\".

$sel:userId:User', user_userId - The ID associated with the user.