Spaces:
Running
Running
File size: 3,087 Bytes
e60e568 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 |
'''
This file is part of PM4Py (More Info: https://pm4py.fit.fraunhofer.de).
PM4Py is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
PM4Py is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with PM4Py. If not, see <https://www.gnu.org/licenses/>.
'''
from typing import Optional, Dict, Any
from enum import Enum
from pm4py.util import exec_utils, pandas_utils
import pandas as pd
class Parameters(Enum):
CONNECTION_STRING = "connection_string"
PREFIX = "prefix"
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
|