Source code for pm4py.algo.connectors.variants.sap_accounting

from typing import Optional, Dict, Any
from enum import Enum
from pm4py.util import exec_utils, pandas_utils
import pandas as pd


[docs] class Parameters(Enum): CONNECTION_STRING = "connection_string" PREFIX = "prefix"
[docs] def apply(conn, parameters: Optional[Dict[Any, Any]] = None) -> pd.DataFrame: """ Extracts an event log for the SAP Accounting process Parameters --------------- conn (if provided) ODBC connection object to the database (offering cursors) parameters Parameters of the algorithm, including: - Parameters.CONNECTION_STRING => connection string that is used (if no connection is provided) - Parameters.PREFIX => prefix to add to the table names (example SAPSR3.) Returns --------------- dataframe Pandas dataframe """ if parameters is None: parameters = {} import pm4py connection_string = exec_utils.get_param_value( Parameters.CONNECTION_STRING, parameters, None ) if conn is None: import pyodbc conn = pyodbc.connect(connection_string) prefix = exec_utils.get_param_value(Parameters.PREFIX, parameters, "") curs = conn.cursor() query = ( """ SELECT * FROM (SELECT MANDT || '-' || BUKRS || '-' || GJAHR || '-' || BELNR AS "case:concept:name", 'Create Financial Document - ' || BLART AS "concept:name", CPUDT || ' ' || CPUTM AS "time:timestamp", USNAM AS "org:resource", BLART FROM """ + prefix + """BKPF UNION SELECT MANDT || '-' || BUKRS || '-' || GJAHR || '-' || AUGBL AS "case:concept:name", 'Clear Customer Document' AS "concept:name", AUGDT || ' 235958' AS "time:timestamp", NULL AS "org:resource", NULL AS BLART FROM """ + prefix + """BSAD UNION SELECT MANDT || '-' || BUKRS || '-' || GJAHR || '-' || AUGBL AS "case:concept:name", 'Clear Vendor Document' AS "concept:name", AUGDT || ' 235959' AS "time:timestamp", NULL AS "org:resource", NULL AS BLART FROM """ + prefix + """BSAK) ORDER BY "case:concept:name", "time:timestamp"; """ ) columns = [ "case:concept:name", "concept:name", "time:timestamp", "org:resource", "BLART", ] curs.execute(query) dataframe = curs.fetchall() dataframe = pandas_utils.instantiate_dataframe_from_records( dataframe, columns=columns ) dataframe = pm4py.format_dataframe(dataframe) curs.close() conn.close() return dataframe