Python application designed to process an event log and a BPMN (Business Process Model and Notation) model to compute the state of ongoing cases in a business process. It uses the process_running_state library (https://github.com/AutomatedProcessImprovement/process-running-state) to compute the state based on the last few executed activities.
To install:
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Set python virtual environment python -m venv .venv
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Activate virtual environment .venv/Scripts/activate
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Install required packages pip install pandas lxml networkx xmltodict poetry
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Navigate to process_running_state directory cd libs/process_running_state
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Install dependencies there poetry install
To run, use: python main.py path/to/event_log.csv path/to/bpmn_model.bpmn path/to/parameters.json --start_time "YYYY-MM-DDTHH:MM:SS" --column_mapping '{"csv_column_name": "ExpectedColumnName", ...}'
(currently parameters not used)
Examples:
- With start_time specified
python main.py samples/synthetic_xor_loop_ongoing.csv samples/synthetic_xor_loop.bpmn '{"param1": "value1", "param2": "value2"}' --column_mapping '{"case_id": "CaseId", "Resource": "Resource", "Activity": "Activity", "__start_time": "StartTime", "end_time": "EndTime"}' --start_time '2012-03-21T06:10:00.000'
python main.py samples/synthetic_and_k5_ongoing.csv samples/synthetic_and_k5.bpmn '{"param1": "value1", "param2": "value2"}' --column_mapping '{"case_id": "CaseId", "Resource": "Resource", "Activity": "Activity", "__start_time": "StartTime", "end_time": "EndTime"}' --start_time '2012-03-21T08:05:00'
- Without start_time specified
python main.py samples/synthetic_xor_loop_ongoing.csv samples/synthetic_xor_loop.bpmn '{"param1": "value1", "param2": "value2"}' --column_mapping '{"case_id": "CaseId", "Resource": "Resource", "Activity": "Activity", "__start_time": "StartTime", "end_time": "EndTime"}'
python main.py samples/synthetic_and_k5_ongoing.csv samples/synthetic_and_k5.bpmn '{"param1": "value1", "param2": "value2"}' --column_mapping '{"case_id": "CaseId", "Resource": "Resource", "Activity": "Activity", "__start_time": "StartTime", "end_time": "EndTime"}'
Example in output.json is used on python main.py samples/synthetic_xor_loop_ongoing.csv samples/synthetic_xor_loop.bpmn '{"param1": "value1", "param2": "value2"}' --column_mapping '{"case_id": "CaseId", "Resource": "Resource", "Activity": "Activity", "__start_time": "StartTime", "end_time": "EndTime"}' --start_time '2012-03-21T10:10:00.000'