@featurevisor/roku

@featurevisor/roku

BrightScript SDK for Roku.

Visit https://featurevisor.com/docs/sdks/ for more information.

• Installation
• Usage
• Options
  • bucketKeySeparator
  • configureAndInterceptStaticContext
  • configureBucketKey
  • configureBucketValue
  • datafile
  • datafileUrl
  • initialFeatures
  • interceptContext
  • onActivation
  • onReady
  • onRefresh
  • onUpdate
  • refreshInterval
  • stickyFeatures
• API
  • featurevisorSDK.onActivation
  • featurevisorSDK.onReady
  • featurevisorSDK.onRefresh
  • featurevisorSDK.onUpdate
  • featurevisorSDK.isEnabled
  • featurevisorSDK.getVariation
  • featurevisorSDK.getVariable
  • featurevisorSDK.activate
  • featurevisorSDK.clear
  • featurevisorSDK.getRevision
  • featurevisorSDK.isReady
  • featurevisorSDK.refresh
  • featurevisorSDK.setDatafile
  • featurevisorSDK.setStickyFeatures
  • featurevisorSDK.startRefreshing
  • featurevisorSDK.stopRefreshing

Installation

npm i -P @featurevisor/roku

Usage

Initialize the SDK (creates FeaturevisorInstance node). For example, in the new MyFeaturevisorNode created:

' @import /components/libs/featurevisor/FeaturevisorSDK.brs from @featurevisor/roku

sub init()
  m.featurevisorSDK = FeaturevisorSDK()
  f = m.featurevisorSDK.createInstance({
    datafileUrl: "<featurevisor-datafile-url>",
  })
end sub

You can also pass an existing instance to SDK, to not create a new instance, but to use an existing one to use FeaturevisorSDK methods that are invoked on it.

' @import /components/libs/featurevisor/FeaturevisorSDK.brs from @featurevisor/roku

sub init()
  m.featurevisorSDK = FeaturevisorSDK()
  f = m.featurevisorSDK.createInstance({
    ' options from an existing instance are kept but could be overridden
  }, existingInstance)
end sub

Options

Options you can pass when creating Featurevisor SDK instance:

bucketKeySeparator

• Type: string
• Required: no
• Defaults to: .

configureAndInterceptStaticContext

• Type: associativeArray
• Required: no

The context for configureBucketKey, configureBucketValue, and interceptContext functions, this object will be accessible via m in those functions.

configureBucketKey

• Type: function
• Required: no

Use it to take over bucketing key generation process.

' @import /components/libs/featurevisor/FeaturevisorSDK.brs from @featurevisor/roku

sub init()
  m.featurevisorSDK = FeaturevisorSDK()
  f = m.featurevisorSDK.createInstance({
    configureBucketKey: function (feature as Dynamic, context as Object, bucketKey as String) as String
      return bucketKey
    end function,
  })
end sub

configureBucketValue

• Type: function
• Required: no

Use it to take over bucketing process.

' @import /components/libs/featurevisor/FeaturevisorSDK.brs from @featurevisor/roku

sub init()
  m.featurevisorSDK = FeaturevisorSDK()
  f = m.featurevisorSDK.createInstance({
    configureBucketValue: function (feature as Dynamic, context as Object, bucketValue as String) as Integer
      return bucketValue ' 0 to 100000
    end function,
  })
end sub

datafile

• Type: associativeArray
• Required: either datafile or datafileUrl is required

Use it to pass the datafile object directly.

datafileUrl

• Type: string
• Required: either datafile or datafileUrl is required

Use it to pass the URL to fetch the datafile from.

initialFeatures

• Type: associativeArray
• Required: no

Pass set of initial features with their variation and (optional) variables that you want the SDK to return until the datafile is fetched and parsed:

' @import /components/libs/featurevisor/FeaturevisorSDK.brs from @featurevisor/roku

sub init()
  m.featurevisorSDK = FeaturevisorSDK()
  f = m.featurevisorSDK.createInstance({
    initialFeatures: {
      myFeatureKey: {
        enabled: true,

        ' optional
        variation: "treatment",
        variables: {
          myVariableKey: "my-variable-value",
        },
      },
    },
  })
end sub

interceptContext

• Type: function
• Required: no

Intercept given context before they are used to bucket the user:

' @import /components/libs/featurevisor/FeaturevisorSDK.brs from @featurevisor/roku

sub init()
  defaultContext = {
    platform: "roku",
    locale: "en_US",
    country: "US",
    timezone: "America/New_York",
  }
  m.featurevisorSDK = FeaturevisorSDK()
  f = m.featurevisorSDK.createInstance({
    configureAndInterceptStaticContext: defaultContext,
    interceptContext: function (context as Object) as Object
      joinedContext = {}
      joinedContext.append(m)
      joinedContext.append(context)

      return joinedContext
    end function,
  })
end sub

onActivation

• Type: associativeArray
• Required: no
• Structure: { callback: function, context?: associativeArray }

Capture activated features along with their evaluated variation:

' @import /components/libs/featurevisor/FeaturevisorSDK.brs from @featurevisor/roku

sub init()
  m.featurevisorSDK = FeaturevisorSDK()
  f = m.featurevisorSDK.createInstance({
    onActivation: {
      callback: sub (data as Object)
        ' feature has been activated
      end sub,
      context: {}, ' optional context for the callback
    },
  })
end sub

data Object fields:

• captureContext
• feature
• context
• variationValue

captureContext will only contain attributes that are marked as capture: true in the Attributes' YAML files.

onReady

• Type: associativeArray
• Required: no
• Structure: { callback: function, context?: associativeArray }

Triggered maximum once when the SDK is ready to be used.

' @import /components/libs/featurevisor/FeaturevisorSDK.brs from @featurevisor/roku

sub init()
  m.featurevisorSDK = FeaturevisorSDK()
  f = m.featurevisorSDK.createInstance({
    onReady: {
      callback: sub ()
        ' agent has been createInstanced and it is ready
      end sub,
      context: {}, ' optional context for the callback
    },
  })
end sub

onRefresh

• Type: associativeArray
• Required: no
• Structure: { callback: function, context?: associativeArray }

Triggered every time the datafile is refreshed.

Works only when datafileUrl and refreshInterval are set.

' @import /components/libs/featurevisor/FeaturevisorSDK.brs from @featurevisor/roku

sub init()
  m.featurevisorSDK = FeaturevisorSDK()
  f = m.featurevisorSDK.createInstance({
    onRefresh: {
      callback: sub ()
        ' datafile has been refreshed
      end sub,
      context: {}, ' optional context for the callback
    },
  })
end sub

onUpdate

• Type: associativeArray
• Required: no
• Structure: { callback: function, context?: associativeArray }

Triggered every time the datafile is refreshed, and the newly fetched datafile is detected to have different content than last fetched one.

Works only when datafileUrl and refreshInterval are set.

' @import /components/libs/featurevisor/FeaturevisorSDK.brs from @featurevisor/roku

sub init()
  m.featurevisorSDK = FeaturevisorSDK()
  f = m.featurevisorSDK.createInstance({
    onUpdate: {
      callback: sub ()
        ' datafile has been updated (the revision has changed)
      end sub,
      context: {}, ' optional context for the callback
    },
  })
end sub

refreshInterval

• Type: integer (in seconds)
• Required: no

Set the interval grater than zero to refresh the datafile.

' @import /components/libs/featurevisor/FeaturevisorSDK.brs from @featurevisor/roku

sub init()
  m.featurevisorSDK = FeaturevisorSDK()
  f = m.featurevisorSDK.createInstance({
    datafileUrl: "<featurevisor-datafile-url>",
    refreshInterval: 60 * 5, ' every 5 minutes
  })
end sub

stickyFeatures

• Type: associativeArray
• Required: no

If set, the SDK will skip evaluating the datafile and return variation and variable results from this object instead.

If a feature key is not present in this object, the SDK will continue to evaluate the datafile.

' @import /components/libs/featurevisor/FeaturevisorSDK.brs from @featurevisor/roku

sub init()
  m.featurevisorSDK = FeaturevisorSDK()
  f = m.featurevisorSDK.createInstance({
    stickyFeatures: {
      myFeatureKey: {
        enabled: true,

        ' optional
        variation: "treatment",
        variables: {
          myVariableKey: "my-variable-value",
        },
      },
    },
  })
end sub

API

Other methods that could be called before initialization:

featurevisorSDK.onActivation

featurevisorSDK.onActivation(func as Function, context = Invalid as Object)

featurevisorSDK.onReady

featurevisorSDK.onReady(func as Function, context = Invalid as Object)

featurevisorSDK.onRefresh

featurevisorSDK.onRefresh(func as Function, context = Invalid as Object)

featurevisorSDK.onUpdate

featurevisorSDK.onUpdate(func as Function, context = Invalid as Object)

These methods should be called once the SDK instance is created:

featurevisorSDK.isEnabled

featurevisorSDK.isEnabled(featureKey as String, context = {} as Object) as Boolean

featurevisorSDK.getVariation

featurevisorSDK.getVariation(feature as Dynamic, context = {} as Object) as Dynamic

featurevisorSDK.getVariable

featurevisorSDK.getVariable(feature as Dynamic, variableKey as String, context = {} as Object) as Object

Also supports additional type specific methods:

• featurevisorSDK.getVariableBoolean(feature as Dynamic, variableKey as String, context = {} as Object) as Boolean
• featurevisorSDK.getVariableString(feature as Dynamic, variableKey as String, context = {} as Object) as Dynamic
• featurevisorSDK.getVariableInteger(feature as Dynamic, variableKey as String, context = {} as Object) as Integer
• featurevisorSDK.getVariableDouble(feature as Dynamic, variableKey as String, context = {} as Object) as Float
• featurevisorSDK.getVariableArray(feature as Dynamic, variableKey as String, context = {} as Object) as Object
• featurevisorSDK.getVariableObject(feature as Dynamic, variableKey as String, context = {} as Object) as Object
• featurevisorSDK.getVariableJSON(feature as Dynamic, variableKey as String, context = {} as Object) as Dynamic

featurevisorSDK.activate

featurevisorSDK.activate(feature as Dynamic, context = {} as Object) as Object

Same as getVariation, but also calls the onActivation callback.

This is a convenience method meant to be called when you know the User has been exposed to your Feature, and you also want to track the activation.

featurevisorSDK.clear

featurevisorSDK.clear()

featurevisorSDK.getRevision

featurevisorSDK.getRevision() as String

featurevisorSDK.isReady

featurevisorSDK.isReady() as Boolean

Check if the instance is ready to be used.

featurevisorSDK.refresh

featurevisorSDK.refresh()

Manually refresh datafile.

featurevisorSDK.setDatafile

featurevisorSDK.setDatafile(datafile as Object)

featurevisorSDK.setStickyFeatures

featurevisorSDK.setStickyFeatures(stickyFeatures as Object)

featurevisorSDK.startRefreshing

featurevisorSDK.startRefreshing()

Start refreshing if refreshInterval was provided

featurevisorSDK.stopRefreshing

featurevisorSDK.stopRefreshing()

Cancel refreshing

License

MIT © Błażej Chełkowski