[midPoint] Filtering out bad or out-of-band data at import

[Pálos Gustáv]

Hi Kevin,

you can use condition in synchronization to write your needs:
https://wiki.evolveum.com/display/midPoint/Synchronization+Configuration#SynchronizationConfiguration-Conditions

Best regards

Gustav

št 14. 2. 2019 o 17:00 Collins, Kevin J <K.J.Collins at hw.ac.uk> napísal(a):

> Hi everyone,
>
>
> During a data import (from a csv file) is it possible to examine dates in
> the source record in the csv file to determine whether or not the record
> should be skipped or imported? For example…
>
> personID,sn,givenName,personalTitle,description,startDate,endDate
> “1234”,”Collins”,”Kevin”,”Mr”,”Specialist”,”10-Jan-2015”,””
> “5678”,”Butter”,”Roland”,”Dr”,”System
> Theologian”,”01-Jul-1996”,”30-Nov-2018”
> “9101”,”Calamity”,”Jane”,”Ms”,”Data Packet
> Wrangler”,”24-Feb-1998”,”31-Mar-2019”
>
> In the above csv, I’d like to achieve this:
>
> Collins, Kevin —> imported (no end-date set in HR), and
> Calamity, Jane —> imported (end-date is in the future), and
> Butter, Roland —> not imported (end-date in the past)
>
> …but I can’t see how to do this in the examples. I could easily
> pre-process the csv (Python, Perl, etc) to remove any record with a date in
> the past, but I’m thinking that it ought to be possible entirely in
> MidPoint, and that I’m just not seeing it.
>
>
> -Kev_C
>
> -
> Kevin Collins,
> Senior Specialist,
> Information Services,
> Rm 23, Allen McTernan Building,
> Heriot-Watt University
> Edinburgh Campus
> EH14 4AS
>
>
>
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-- 
Gustáv Pálos
Senior Identity Engineer
evolveum.com
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