processmining-bupaR
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Error
Dear Scheithauer,
pls update your R code. I see three errors:
1.The variable data$Start Timestamp
does not exist. Only data$Start_Timestamp
is present within data.
Same with Complete Timestamp, which must be updated to Complete_Timestamp
:
data$starttimestamp = as.POSIXct(data$Start_Timestamp
,format = "%Y/%m/%d %H:%M:%S")
data$endtimestamp = as.POSIXct(data$Complete_Timestamp
,
- Lifecycles endtimestamp are not allowed in:
events <- bupaR::activities_to_eventlog(
- head(data, n = 10000),
- case_id = 'Case_ID',
- activity_id = 'Activity',
- resource_id = 'Resource',
- timestamps = c('starttimestamp', 'endtimestamp'))
Error in activitylog.data.frame(activity_log, case_id = case_id, activity_id = activity_id, : Lifecycles endtimestamp are not allowed. Allowed lifecycles: schedule, assign, reassign, start, suspend, resume, abort_activity, abort_case, complete, manualskip, autoskip
- Same with: events <- bupaR::activities_to_eventlog( data, case_id = 'Case_ID', activity_id = 'Activity', resource_id = 'Resource', timestamps = c('starttimestamp', 'endtimestamp') )
Error in activitylog.data.frame(activity_log, case_id = case_id, activity_id = activity_id, : Lifecycles endtimestamp are not allowed. Allowed lifecycles: schedule, assign, reassign, start, suspend, resume, abort_activity, abort_case, complete, manualskip, autoskip
Please update the code. Now even after clearing problems in point no. 1, the code stops at point 2 and 3.
Hi @adamkk, I am not the original author, but I found a way to bypass the error through some trial and error and checking the documentation. I will share what I found.
First, to make this happen, you will need to change the variable names in issue 1 into 'start' and 'complete' respectively. This solves the following error that you get in issues 2 and 3:
Error in activitylog.data.frame(activity_log, case_id = case_id, activity_id = activity_id, : Lifecycles endtimestamp are not allowed. Allowed lifecycles: schedule, assign, reassign, start, suspend, resume, abort_activity, abort_case, complete, manualskip, autoskip
data$start <- as.POSIXct(data$`Start_Timestamp`,
format = "%Y/%m/%d %H:%M:%S")
data$complete <- as.POSIXct(data$`Complete_Timestamp`,
format = "%Y/%m/%d %H:%M:%S")
From there you can just change the variable names in issues 2 and 3 for timestamps to the variables you just created. However, it seems that the function in the original script has become depreciated and has a new version in the documentation. You can create an event log by using the following code as well, per the updated documentation.
activities <- bupaR::activitylog(
data,
case_id = 'Case_ID',
activity_id = 'Activity',
resource_id = 'Resource',
timestamps = c('start', 'complete'),
order = 'auto'
)
events <- bupaR::to_eventlog(activities)
This new code will also give you the results the original author intended.