[source,js] ---- POST _watcher/watch/_execute { "watch" : { "metadata" : { "high_threshold": 50000, "low_threshold": 15000 }, "trigger" : { "schedule" : { "interval" : "24h" } }, "input" : { "search" : { "request" : { "indices" : [ "seats" ], "body" : { "query" : { "term": { "sold": "true"} }, "aggs" : { "theatres" : { "terms" : { "field" : "play" }, "aggs" : { "money" : { "sum": { "field" : "cost" } } } } } } } } }, "condition" : { "script" : """ return ctx.payload.aggregations.theatres.buckets.stream() .anyMatch(theatre -> theatre.money.value < ctx.metadata.low_threshold || theatre.money.value > ctx.metadata.high_threshold) """ }, "transform" : { "script": """ return [ 'money_makers': ctx.payload.aggregations.theatres.buckets.stream() .filter(t -> { return t.money.value > ctx.metadata.high_threshold }) .map(t -> { return ['play': t.key, 'total_value': t.money.value ] }).collect(Collectors.toList()), 'duds' : ctx.payload.aggregations.theatres.buckets.stream() .filter(t -> { return t.money.value < ctx.metadata.low_threshold }) .map(t -> { return ['play': t.key, 'total_value': t.money.value ] }).collect(Collectors.toList()) ] """ }, "actions" : { "log_money_makers" : { "condition": { "script" : "return ctx.payload.money_makers.size() > 0" }, "transform": { "script" : """ def formatter = NumberFormat.getCurrencyInstance(); return [ 'plays_value': ctx.payload.money_makers.stream() .map(t-> formatter.format(t.total_value) + ' for the play ' + t.play) .collect(Collectors.joining(", ")) ] """ }, "logging" : { "text" : "The following plays contain the highest grossing total income: {{ctx.payload.plays_value}}" } }, "log_duds" : { "condition": { "script" : "return ctx.payload.duds.size() > 0" }, "transform": { "script" : """ def formatter = NumberFormat.getCurrencyInstance(); return [ 'plays_value': ctx.payload.duds.stream() .map(t-> formatter.format(t.total_value) + ' for the play ' + t.play) .collect(Collectors.joining(", ")) ] """ }, "logging" : { "text" : "The following plays need more advertising due to their low total income: {{ctx.payload.plays_value}}" } } } } } ---- // CONSOLE // TEST[skip: requires setup from other pages] The following example shows the use of metadata and transforming dates into a readable format. [source,js] ---- POST _watcher/watch/_execute { "watch" : { "metadata" : { "min_hits": 10000 }, "trigger" : { "schedule" : { "interval" : "24h" } }, "input" : { "search" : { "request" : { "indices" : [ "seats" ], "body" : { "query" : { "term": { "sold": "true"} }, "aggs" : { "theatres" : { "terms" : { "field" : "play" }, "aggs" : { "money" : { "sum": { "field" : "cost" } } } } } } } } }, "condition" : { "script" : """ return ctx.payload.hits.total > ctx.metadata.min_hits """ }, "transform" : { "script" : """ def theDate = ZonedDateTime.ofInstant(ctx.execution_time.toInstant(), ctx.execution_time.getZone()); return ['human_date': DateTimeFormatter.RFC_1123_DATE_TIME.format(theDate), 'aggregations': ctx.payload.aggregations] """ }, "actions" : { "my_log" : { "logging" : { "text" : "The watch was successfully executed on {{ctx.payload.human_date}} and contained {{ctx.payload.aggregations.theatres.buckets.size}} buckets" } } } } } ---- // CONSOLE // TEST[skip: requires setup from other pages]