how to groupBy and map at same transform on dataweave 2? - mule-component

Question

I have this dataweave 1.0 script that works well:
%dw 1.0
%output application/java
---
flowVars.worklogs groupBy $.author.accountId map {
accountId: $.author.accountId[0],
displayName: $.author.displayName[0],
timeSpentMinutesMonth: (sum $.timeSpentSeconds) / 3600,
billableMinutesMonth: (sum $.billableSeconds) / 3600,
emailAddress: ''
}
However, now I am updating the code for mule 4, and I couldn't make this transformation goes well.
I already tried to update it like this:
%dw 2.0
output application/java
---
vars.worklogs groupBy $.author.accountId map {
accountId: $.author.accountId[0],
displayName: $.author.displayName[0],
timeSpentMinutesMonth: (sum($.timeSpentSeconds)) / 3600,
billableMinutesMonth: (sum($.billableSeconds)) / 3600,
emailAddress: ''
}
But I got this error:
org.mule.runtime.core.internal.message.ErrorBuilder$ErrorImplementation
{
description="You called the function 'map' with these arguments:
1: Object ({"5d8b681427fe990dc2d3404a": [{self: "https://api.tempo.io/core/3/worklogs/54...)
2: Function ((v:Any, i:Any) -> ???)
But it expects arguments of these types:
1: Array
2: Function
4| vars.worklogs groupBy $.author.accountId map (v, i) -> {
| ...
10| }
Trace:
at map (line: 4, column: 1)
at main (line: 4, column: 42)" evaluating expression: "%dw 2.0
output application/java
---
vars.worklogs groupBy $.author.accountId map (v, i) -> {
accountId: v.author.accountId[0],
displayName: v.author.displayName[0],
timeSpentMinutesMonth: (sum(v.timeSpentSeconds)) / 3600,
billableMinutesMonth: (sum(v.billableSeconds)) / 3600,
emailAddress: ''
}".
The variable worklogs contains a json:
[
{
"self": "https://api.tempo.io/core/3/worklogs/5408",
"tempoWorklogId": 5408,
"jiraWorklogId": 15408,
"issue": {
"self": "https://xpto.atlassian.net/rest/api/2/issue/ABC-123",
"key": "ABC-123",
"id": 11005
},
"timeSpentSeconds": 28800,
"billableSeconds": 28800,
"startDate": "2020-01-31",
"startTime": "00:00:00",
"description": "creating new song",
"createdAt": "2020-02-28T13:30:58Z",
"updatedAt": "2020-02-28T13:30:58Z",
"author": {
"self": "https://xpto.atlassian.net/rest/api/2/user?accountId=5d8b681427fe990dc2d3404a",
"accountId": "5d8b681427fe990dc2d3404a",
"displayName": "john lennon"
},
"attributes": {
"self": "https://api.tempo.io/core/3/worklogs/5408/work-attribute-values",
"values": [
]
}
},
{
"self": "https://api.tempo.io/core/3/worklogs/5166",
"tempoWorklogId": 5166,
"jiraWorklogId": 15166,
"issue": {
"self": "https://xpto.atlassian.net/rest/api/2/issue/CDE-99",
"key": "CDE-99",
"id": 10106
},
"timeSpentSeconds": 3600,
"billableSeconds": 3600,
"startDate": "2020-01-31",
"startTime": "00:00:00",
"description": "call with stakeholders",
"createdAt": "2020-02-10T18:30:03Z",
"updatedAt": "2020-02-10T18:30:03Z",
"author": {
"self": "https://xpto.atlassian.net/rest/api/2/user?accountId=5b27ad3902cfea1ba6411c3f",
"accountId": "5b27ad3902cfea1ba6411c3f",
"displayName": "chandler bing"
},
"attributes": {
"self": "https://api.tempo.io/core/3/worklogs/5166/work-attribute-values",
"values": [
]
}
},
{
"self": "https://api.tempo.io/core/3/worklogs/5165",
"tempoWorklogId": 5165,
"jiraWorklogId": 15165,
"issue": {
"self": "https://xpto.atlassian.net/rest/api/2/issue/CDE-99",
"key": "CDE-99",
"id": 10081
},
"timeSpentSeconds": 3600,
"billableSeconds": 3600,
"startDate": "2020-01-31",
"startTime": "00:00:00",
"description": "planning tulsa work trip",
"createdAt": "2020-02-10T18:29:30Z",
"updatedAt": "2020-02-10T18:29:30Z",
"author": {
"self": "https://xpto.atlassian.net/rest/api/2/user?accountId=5b27ad3902cfea1ba6411c3f",
"accountId": "5b27ad3902cfea1ba6411c3f",
"displayName": "chandler bing"
},
"attributes": {
"self": "https://api.tempo.io/core/3/worklogs/5165/work-attribute-values",
"values": [
]
}
},
{
"self": "https://api.tempo.io/core/3/worklogs/5164",
"tempoWorklogId": 5164,
"jiraWorklogId": 15164,
"issue": {
"self": "https://xpto.atlassian.net/rest/api/2/issue/CDE-99",
"key": "CDE-99",
"id": 10108
},
"timeSpentSeconds": 7200,
"billableSeconds": 7200,
"startDate": "2020-01-31",
"startTime": "00:00:00",
"description": "exporting data to cd-rom",
"createdAt": "2020-02-10T18:29:08Z",
"updatedAt": "2020-02-10T18:29:47Z",
"author": {
"self": "https://xpto.atlassian.net/rest/api/2/user?accountId=5b27ad3902cfea1ba6411c3f",
"accountId": "5b27ad3902cfea1ba6411c3f",
"displayName": "chandler-bing"
},
"attributes": {
"self": "https://api.tempo.io/core/3/worklogs/5164/work-attribute-values",
"values": [
]
}
}
]
I don't understanding why this isn't working. I read the docs and found out that groupBy and map in dw 2.0 works pretty much the same as dw 1.0.

Answer 1

According to this question, it is necessary to add a pluck after groupBy, and not add map:
%dw 2.0
output application/json
---
vars.worklogs groupBy $.author.accountId pluck {
accountId: $.author.accountId[0],
displayName: $.author.displayName[0],
timeSpentMinutesMonth: (sum($.timeSpentSeconds)) / 3600,
billableMinutesMonth: (sum($.billableSeconds)) / 3600,
emailAddress: ''
}

Answer 2

The problem is that in DataWeave 1.0 map() accepted an object as an argument, in addition to arrays. In DataWeave 2.0 it is defined only for arrays and null. You need to iterate over the keys in the result object of groubBy().