Copyright	(c) 2013-2023 Brendan Hay
License	Mozilla Public License, v. 2.0.
Maintainer	Brendan Hay
Stability	auto-generated
Portability	non-portable (GHC extensions)
Safe Haskell	Safe-Inferred
Language	Haskell2010

Amazonka.Evidently.Types.Event

Description

Synopsis

data Event = Event' {
- data' :: Text
- timestamp :: POSIX
- type' :: EventType
}
newEvent :: Text -> UTCTime -> EventType -> Event
event_data :: Lens' Event Text
event_timestamp :: Lens' Event UTCTime
event_type :: Lens' Event EventType

Documentation

data Event Source #

A structure that contains the information about one evaluation event or custom event sent to Evidently. This is a JSON payload. If this event specifies a pre-defined event type, the payload must follow the defined event schema.

See: newEvent smart constructor.

Constructors

Event'
Fields data' :: Text The event data. timestamp :: POSIX The timestamp of the event. type' :: EventType `aws.evidently.evaluation` specifies an evaluation event, which determines which feature variation that a user sees. `aws.evidently.custom` specifies a custom event, which generates metrics from user actions such as clicks and checkouts.

Instances

Instances details

ToJSON Event Source #
Instance details Defined in Amazonka.Evidently.Types.Event Methods toJSON :: Event -> Value # toEncoding :: Event -> Encoding # toJSONList :: [Event] -> Value # toEncodingList :: [Event] -> Encoding #
Generic Event Source #
Instance details Defined in Amazonka.Evidently.Types.Event Associated Types type Rep Event :: Type -> Type # Methods from :: Event -> Rep Event x # to :: Rep Event x -> Event #
Read Event Source #
Instance details Defined in Amazonka.Evidently.Types.Event Methods readsPrec :: Int -> ReadS Event # readList :: ReadS [Event] # readPrec :: ReadPrec Event # readListPrec :: ReadPrec [Event] #
Show Event Source #
Instance details Defined in Amazonka.Evidently.Types.Event Methods showsPrec :: Int -> Event -> ShowS # show :: Event -> String # showList :: [Event] -> ShowS #
NFData Event Source #
Instance details Defined in Amazonka.Evidently.Types.Event Methods rnf :: Event -> () #
Eq Event Source #
Instance details Defined in Amazonka.Evidently.Types.Event Methods (==) :: Event -> Event -> Bool # (/=) :: Event -> Event -> Bool #
Hashable Event Source #
Instance details Defined in Amazonka.Evidently.Types.Event Methods hashWithSalt :: Int -> Event -> Int # hash :: Event -> Int #
type Rep Event Source #
Instance details Defined in Amazonka.Evidently.Types.Event type Rep Event = D1 ('MetaData "Event" "Amazonka.Evidently.Types.Event" "amazonka-evidently-2.0-Es2fJk98R0DAUPYaVkZSYC" 'False) (C1 ('MetaCons "Event'" 'PrefixI 'True) (S1 ('MetaSel ('Just "data'") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :: (S1 ('MetaSel ('Just "timestamp") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 POSIX) :: S1 ('MetaSel ('Just "type'") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 EventType))))

newEvent Source #

Arguments

:: Text	`$sel:data':Event'`
-> UTCTime	`$sel:timestamp:Event'`
-> EventType	`$sel:type':Event'`
-> Event

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:data':Event', event_data - The event data.

$sel:timestamp:Event', event_timestamp - The timestamp of the event.

$sel:type':Event', event_type - aws.evidently.evaluation specifies an evaluation event, which determines which feature variation that a user sees. aws.evidently.custom specifies a custom event, which generates metrics from user actions such as clicks and checkouts.

event_data :: Lens' Event Text Source #

The event data.

event_timestamp :: Lens' Event UTCTime Source #

The timestamp of the event.

event_type :: Lens' Event EventType Source #

aws.evidently.evaluation specifies an evaluation event, which determines which feature variation that a user sees. aws.evidently.custom specifies a custom event, which generates metrics from user actions such as clicks and checkouts.