[[painless-watcher-transform-context]] === Watcher transform context Use a Painless script as a {xpack-ref}/transform-script.html[watch transform] to transform a payload into a new payload for further use in the watch. Transform scripts return an Object value of the new payload. include::painless-watcher-context-variables.asciidoc[] *Return* `Object`:: The new payload. *API* The standard <> is available. *Example* [source,Painless] ---- POST _watcher/watch/_execute { "watch" : { "trigger" : { "schedule" : { "interval" : "24h" } }, "input" : { "search" : { "request" : { "indices" : [ "seats" ], "body" : { "query" : { "term": { "sold": "true"} }, "aggs" : { "theatres" : { "terms" : { "field" : "play" }, "aggs" : { "money" : { "sum": { "field" : "cost" } } } } } } } } }, "transform" : { "script": """ return [ 'money_makers': ctx.payload.aggregations.theatres.buckets.stream() <1> .filter(t -> { <2> return t.money.value > 50000 }) .map(t -> { <3> return ['play': t.key, 'total_value': t.money.value ] }).collect(Collectors.toList()), <4> 'duds' : ctx.payload.aggregations.theatres.buckets.stream() <5> .filter(t -> { return t.money.value < 15000 }) .map(t -> { return ['play': t.key, 'total_value': t.money.value ] }).collect(Collectors.toList()) ] """ }, "actions" : { "my_log" : { "logging" : { "text" : "The output of the payload was transformed to {{ctx.payload}}" } } } } } ---- <1> The Java Stream API is used in the transform. This API allows manipulation of the elements of the list in a pipeline. <2> The stream filter removes items that do not meet the filter criteria. <3> The stream map transforms each element into a new object. <4> The collector reduces the stream to a `java.util.List`. <5> This is done again for the second set of values in the transform. The following action transform changes each value in the mod_log action into a `String`. This transform does not change the values in the unmod_log action. [source,Painless] ---- POST _watcher/watch/_execute { "watch" : { "trigger" : { "schedule" : { "interval" : "24h" } }, "input" : { "search" : { "request" : { "indices" : [ "seats" ], "body" : { "query" : { "term": { "sold": "true"} }, "aggs" : { "theatres" : { "terms" : { "field" : "play" }, "aggs" : { "money" : { "sum": { "field" : "cost" } } } } } } } } }, "actions" : { "mod_log" : { "transform": { <1> "script" : """ def formatter = NumberFormat.getCurrencyInstance(); return [ 'msg': ctx.payload.aggregations.theatres.buckets.stream() .map(t-> formatter.format(t.money.value) + ' for the play ' + t.key) .collect(Collectors.joining(", ")) ] """ }, "logging" : { "text" : "The output of the payload was transformed to: {{ctx.payload.msg}}" } }, "unmod_log" : { <2> "logging" : { "text" : "The output of the payload was not transformed and this value should not exist: {{ctx.payload.msg}}" } } } } } ---- This example uses the streaming API in a very similar manner. The differences below are subtle and worth calling out. <1> The location of the transform is no longer at the top level, but is within an individual action. <2> A second action that does not transform the payload is given for reference. The following example shows scripted watch and action transforms within the context of a complete watch. This watch also uses a scripted <>. include::painless-watcher-context-example.asciidoc[]