JavaScript calculated custom fields

Define calculated custom field in eazyBI advanced settings

You should define an additional custom field in the advanced settings with the following additional settings:

• Use your own customfield_NAME custom field name where NAME is some unique descriptive name of your additional calculated custom field.
• Add a name setting and specify a display name for this calculated custom field that will be visible in Jira import custom fields selection (these calculated custom fields will be always visible for any Jira project selection).
• Add javascript_code which will calculate and store in issue.fields.customfield_NAME result of the calculation. This JavaScript code can use the issue object in the same way as in the custom JavaScript code in Jira import options.

The order of the execution of JavaScripts for custom field calculations is not defined. We recommend avoiding reference from one JavaScript calculated custom field to another as it can give an unpredictable result. 

Here is an example of a calculated custom field "Issues overdue" which will return 1 if issue has a due date and either resolution date is after a due date (for resolved issues) or a due date is in the past (for unresolved issues). Add to the advanced settings:

[jira.customfield_overdue]
name = "Issues overdue"
data_type = "integer"
measure = true
javascript_code = '''
if (issue.fields.duedate) {
  var resolutionOrCurrentTimestamp = issue.fields.resolutiondate ?
    Date.parse(issue.fields.resolutiondate) : (new Date).getTime();
  if (Date.parse(issue.fields.duedate) < resolutionOrCurrentTimestamp) {
    issue.fields.customfield_overdue = 1;
  }
}
'''

Then import "Issues overdue" custom field as a measure and eazyBI will create measures "Issues overdue created", "Issues overdue due" (total of unresolved issues that are past their due date), "Issues overdue resolved" (total of resolved issues that were late).

Validate the Javascript code before using it in the custom field definition

If you would like to test and debug your JavaScript code then open Jira import options page and paste your code in Custom JavaScript code and specify an issue key on which you would like to test your JavaScript code. Please note, that in the field Custom javaScript code yuo should paste only the javascript_code part (code between opening and closing qutation marks ''') without other parameters for advanced settings.

It might be difficult to find your custom field value in issue.fields then during validation it is easier to assign the result to top-level issue property as then you will not need to expand issue.fields. (In this example during testing assign the result to issue.customfield_overdue and when you see that it is working as expected then change it to issue.fields.customfield_overdue)

See a short video on validation here:

Custom calculated field as an interval dimension

You can define calculated custom fields also for import as an interval dimension. In this case, specify the following additional settings:

• dimension set to true
• In javascript_code set the value of the custom field as a number of seconds, minutes, hours or days. If the interval dimension is for a duration then this should be the number of time units between two dates. If the interval dimension is for an age then the number should be a Unix timestamp (number of seconds since January 1, 1970).
• In time_unit specify the corresponding time unit.
• In time_inverval specify either age or duration.
• In intervals and interval_unit specify the default interval ranges that should be used (which can be later changed in the Analyze tab).

The first is an example of "Age since updated interval" dimension which will show the age intervals (from the last update date until now) for unresolved issues:

[jira.customfield_updated_age_ts]
name = "Age since updated interval"
data_type = "integer"
dimension = true
javascript_code = '''
if (!issue.fields.resolutiondate) {
  issue.fields.customfield_updated_age_ts = Math.floor(Date.parse(issue.fields.updated) / 1000);
}
'''
time_unit = "seconds"
time_interval = "age"
intervals = "/10"
interval_unit = "days"

The following is an example of "Custom resolution interval" dimension which will show the duration intervals from the issue created date until the custom resolution date (instead of the standard Resolved date) for all issues having this custom resolution date. You may use any two dates instead of issue creation date and the custom resolution date. 

[jira.customfield_custom_resolution_interval]
name = "Custom resolution interval"
data_type = "integer"
dimension = true
javascript_code = '''
if(issue.fields.customfield_NNNNN) {
issue.fields.customfield_custom_resolution_interval = 
  (Date.parse(issue.fields.customfield_NNNNN) - Date.parse(issue.fields.created)) / 1000 / 60 / 60 / 24;
}
'''
time_unit = "days"
time_interval = "duration"
intervals = "8,15,31"
interval_unit = "days"

Calculated worklog custom field

If you store some structured information in worklog comments also known as worklog description (for example if the work is billable or non-billable, or if it is overtime) then you can use calculated worklog custom fields to extract this structured information as a separate dimension.

You define a calculated worklog field as a JavaScript calculated field and in addition:

• Specify worklog = true which will indicate that it is a worklog custom field.
• In javascript_code use the worklog object (which contains JSON representation of one worklog entry as in issue JSON representation). Worklog comment can be accessed as worklog.comment.
  The custom field value should be assigned to worklog.customfield_NAME.

Here is an example of a Worklog Comment dimension which will import the first word in lowercase from worklog comments/description:

[jira.customfield_wlcomment]
name = "Worklog Comment"
data_type = "string"
dimension = true
worklog = true
javascript_code = '''
if (worklog.comment) {
worklog.customfield_wlcomment = worklog.comment;
}
else {
  worklog.customfield_wlcomment = "(no comment)"
}
'''

Import Worklog Comment as a dimension and then use it to analyze Hours spent measure.

Component

To import a component into a separate dimension you can use this calculated custom field definition in your eazyBI advanced settings

[jira.customfield_eazybicomponent]
name = "Component"
data_type = "string"
multiple_values = true
split_by = ","
dimension = true
javascript_code = '''
issue.fields.customfield_eazybicomponent = issue.fields.components;
'''

After defining it, you should be able to import a new custom field via import options as dimension and property

Summary for Issues

To import a summary for Issue you can use this calculated custom field definition in your eazyBI advanced settings

[jira.customfield_sumry]
name = "Summary"
data_type = "text"
javascript_code = '''
if (issue.fields.summary) {
  issue.fields.customfield_sumry = issue.fields.summary;
}
'''

After defining it, you should be able to import a new custom field via import options as property for each issue. Then you can display this property for "Issue" dimension issue-level members.

Description for Issues

To import a description for Issue you can use this calculated custom field definition in your eazyBI advanced settings

[jira.customfield_descr]
name = "Description"
data_type = "text"
json_fields = ['description']
javascript_code = '''
if (issue.fields.description) {
  issue.fields.customfield_descr = issue.fields.description;
}
'''

After defining it, you should be able to import new custom field via import options as property for each issue. Then you can display this property for "Issue" dimension issue-level members.

This approach would work only when eazyBI for Jira Cloud is used. For Server and Datacenter plugin versions read here:https://docs.eazybi.com/eazybijira/data-import/data-from-jira-and-apps/jira-misc-custom-fields#JiraMiscCustomFields-Description

Last date when custom field changed

In eazyBI, it is possible to import single-value select custom field in a separate table with value changes by adding these advanced settings to your custom field (where you place your actual custom field ID instead of NNNNN)

[jira.customfield_NNNNN]
data_type = "string"
dimension = true
separate_table = true
changes = true

Then you could import this custom field as a dimension and import also value changes in eazyBI.

After that, you could update your eazyBI advanced settings with following Javascript code that should return the last date when custom field (use your actual field name in the code instead of <Customfield name> on Line15) was changed to defined value (use your actual value in the code instead of <Value> on Line15).

Here is an example of a Jira single-value select custom field which will return the last date when a pre-defined custom field was set to the pre-defined value:

[jira.customfield_valuechange]
name = "Value change date"
data_type = "date"
measure = true
javascript_code = '''
var customfieldChangeDate;

if (issue.changelog && issue.changelog.histories && issue.changelog.histories.length > 0) {
  var histories = issue.changelog.histories;
  for (var i = 0; i < histories.length; i++) {
    var history = histories[i];
    if (history.items && history.items.length > 0) {
      for (var n = 0; n < history.items.length; n++) {
        var item = history.items[n];
        if (item.field == '<Customfield name>' && item.toString == '<Value>') {
          customfieldChangeDate = history.created;
        }
      }
    }
  }
}

issue.fields.customfield_valuechange = customfieldChangeDate;
'''

Import Value change date as a measure and as a property.

Days for Assignee

To analyze how many days issue was assigned for each assignee until the issue resolution date, you can precalculate the time between assignee transitions based on issue change history for each issue and then import this information as a measure Days for assignee. The measure is also associated with Time dimension (by transition from assignee date)

[jira.customfield_days_for_assignee]
name = "Days for assignee"
data_type = "decimal"
measure = true
multiple_dimensions = ["Time","Assignee"]
javascript_code = '''
var assigneehistory = new Array();
var datefrom = issue.fields.created;
var assignee = null;
resolution = false;
	issue.changelog.histories.forEach(function(history){
	 history.items.forEach(function(historyItem){
	   if (historyItem.field == "assignee") {
	      assignee = historyItem.from;
	      if (! resolution) {
	        dateto = history.created;
	        if(assignee){
				duration = (Date.parse(dateto) - Date.parse(datefrom)) / 1000 / 60 / 60 / 24;
				assigneehistory.push(dateto.toString().substr(0,10) + "," + assignee + "," + duration);
			}
			datefrom = dateto;
			assignee = historyItem.to;
		}
	   }
	    if (historyItem.field == "resolution") {
	      if (historyItem.to) resolution = true;
	      else resolution = false;
	    }
	 });
	});
 
	if (issue.fields.resolutiondate && (issue.fields.assignee || assignee)) {
	 if (!assignee) assignee = issue.fields.assignee.name;
		duration = (Date.parse(issue.fields.resolutiondate) - Date.parse(datefrom)) / 1000 / 60 / 60 / 24;
		assigneehistory.push(issue.fields.resolutiondate.toString().substr(0,10) + "," + assignee + "," + duration);
	}
	issue.fields.customfield_days_for_assignee = assigneehistory.join("\n");
'''

Use this measure in reports together with Assignee and/or Time dimension.

Comment when issue flagged

To import a comment when issue was flagged you can use this calculated custom field definition in your eazyBI advanced settings

#Last comement added with Flag
[jira.customfield_flcomment]
name = "Comment when flagged"
data_type = "string"
json_fields = ["comment"]
javascript_code = '''
if (issue.fields.customfield_NNNNN && issue.fields.comment && issue.fields.comment.comments
    && issue.fields.comment.comments.length > 0) {
  var commentsarray = issue.fields.comment.comments;
  for (var i = 0; i < commentsarray.length; i++) {
    var commenthist = commentsarray[i];
    if (commenthist.body && commenthist.body.indexOf("(flag) Flag added")>=0
       ) {   
         var flcomment = commenthist.body.split('Flag added\n\n')[1];
          break;
        }
  }
  if(issue.fields.customfield_NNNNN){
    issue.fields.customfield_flcomment = flcomment;}
}
'''

After defining it, you should be able to import new custom field via import options as property for each issue. Then you can display this property for "Issue" dimension issue-level members.

Last comment for issue

To import (as property) a body of the last comment added on the issue, you can use this calculated custom field definition in your eazyBI advanced settings

[jira.customfield_lastcommentt]
name = "Last comment text"
data_type = "text"
javascript_code = '''
if (issue.fields.comment && issue.fields.comment.comments && issue.fields.comment.comments.length > 0)  {
  var lastcomment = issue.fields.comment.comments[issue.fields.comment.comments.length-1];
  issue.fields.customfield_lastcommentt = lastcomment.body;
}
'''

After defining it, you should be able to import new custom field via import options as property for each issue. Then you can display this property for "Issue" dimension issue-level members.

Date for the last comment

To import a date when the last comment was added on issue you can use this calculated custom field definition in your eazyBI advanced settings

[jira.customfield_lastcommentdate]
name = "Latest comment date"
data_type = "datetime"
json_fields = ["comment"]
javascript_code = '''
var comments = issue.fields.comment.comments;
if (comments.length > 0) {
  var comment = comments[comments.length - 1];
  issue.fields.customfield_lastcommentdate = comment.created;
}
'''

After defining it, you should be able to import new custom field via import options as property for each issue. Then you can display this property for "Issue" dimension issue-level members.

A similar approach can be used to import the date when the first comment was added.

Multi-level cascading field

To import a multi-level cascading field from (Jira app provided by Sourcesense) you can try using this Javascript code (where you must use your multi-level custom field ID instead of NNNNN)

Code my vary depending on how many levels should be defined.

[jira.customfield_NNNNN]
data_type = "string"
dimension = true
levels = ["Level 1","Level 2","Level 3"]
split_by = ","
javascript_code = '''
var cfList = [];
if (issue.fields.customfield_NNNNN) {
  for (var i=0; i < issue.fields.customfield_NNNNN.length; i++) {
    var cfVal= issue.fields.customfield_NNNN[i].value;
    cfList.push(cfVal)
  }
}
if(cfList){
issue.fields.customfield_NNNNN = _.uniq(cfList).join(",");
}
'''

After defining it in advanced settings, you can import new custom field via import options as dimension and property.

Status category change date for a new calculated field

The next approach would work only for Jira Cloud app!

There are some default Jira fields which are being returned in JSON view (via import options > additional options) but which can't be used by default when calculating other calculated fields using Javascript.

In such cases, the additional line Json_fields = ["Jira Field name"] should be used in advanced settings to access the field during data import.

[jira.customfield_newfieldID]
name = "Status Category Change week"
data_type = "string"
dimension = true
json_fields = ["statuscategorychangedate"] #this line is mandatory
javascript_code = '''
if (issue.fields.hasOwnProperty("statuscategorychangedate")) {
  var sccd = new Date(Date.parse(issue.fields.statuscategorychangedate));
  sccd.setDate(sccd.getDate() - ((sccd.getDay() - 5 + 7) % 7));
  issue.fields.customfield_newfieldID = sccd.toISOString().substr(0, 10);
}
'''

The Javascript code returns a week start date. The 5 is the key: that is the day number for the starting day of the week. In this case, it is Friday (5). If you wanted your week to begin on Tuesday, use a 2.

After defining it in advanced settings, you can import new custom field via import options as dimension and property.

List of fix versions for issues

There are some cases when you would need to display all fix Versions for an issue in a separate column.

[jira.customfield_fversion]
name = 'FixVersions'
data_type = 'string'
javascript_code = '''
var versionList = [];
if (issue.fields.fixVersions ) {
  for (var i=0; i < issue.fields.fixVersions.length; i++) {
    var versionName = issue.fields.fixVersions[i].name;
    versionList.push(versionName); 
  }
}

if (versionList){
issue.fields.customfield_fversion = _.uniq(versionList).join(",");
}
'''

The Javascript code returns a comma-separated list of fix versions, which you could import for issues as the property and use as a measure in the report when it has "Issue" dimension members at issue-level in rows