pm4py
Duplicated sequence from activity to Exclusive Gateway in BPMN visualization
Hi all,
I don't know if this is a problem with the library or if it is accepted in BPMN models, but I have been working for a long time with other frameworks such as ProM, and it's the first time that I found it.
I'm importing a CSV log to show its BPMN model. When I apply a significant noise_threshold (i.e. 0.20), a duplicated sequence with two exclusive gateways is shown as appears in the image below:
The function where I create and save the BPMN is very simple, it is included below:
# BPMN: Discover and save model
def get_bpmn(filtered_log, file_name):
noise_threshold = 0.0
noise_threshold = float(input("Insert the ratio (0-100) to filter infrequent paths: "))
bpmn_model = pm4py.discover_bpmn_inductive(filtered_log, noise_threshold/100)
pm4py.save_vis_bpmn(bpmn_model, file_name)
When I get the BPMN model without filtering infrequent paths (or with scarce filters as 0.01), this doesn't happen.
Could you help me with this, please?
Thanks
Dear @jacaballero
It's not technically wrong, but we'll have a look to avoid these double arcs in the conversion
Dear @fit-alessandro-berti
That's great.
Thank you for your quick response.
By the way, could you attach a small example log where this happens?
Cheers
The log that I'm using has 240000 lines in XES format. I'll try to test if with a sample of the traces it happens as well.
Dear @fit-alessandro-berti
I attached a CSV sample of where this happens. I loaded it as below:
log = pm4py.format_dataframe(pandas.read_csv('filtered_file.csv', sep=';'), case_id='case_id',activity_key='concept:name', timestamp_key='time:timestamp')
And then applied the function that I included in a previous comment.
Hope this helps to debug it.
Regards